Media and Communication

  • Encyclopedias and Background Information
  • Finding Books and E-books
  • Finding Articles
  • Primary Sources

Communications Research Methods: Articles & Books

  • Methods in Media Studies (MiMS)

Getting help from NYU Library Data Services

For assistance, please submit a request .  You can also reach us via the chat below, email [email protected] , or join Discord server .

If you've met with us before,                        tell us how we're doing .

Service Desk and Chat

Bobst Library , 5th floor

Staffed Hours: Spring 2024

Mondays:  12pm - 5pm         Tuesdays:  12pm - 5pm         Wednesdays:  12pm - 5pm         Thursdays:  12pm - 5pm         Fridays:  12pm - 5pm        

Data Services closes for winter break at the end of the day on Friday, Dec. 22, 2023. We will reopen on Wednesday, Jan. 3, 2024.

Quantitative Data

Interested in using quantitative data? Need some assistance using SPSS?  Make a one-on-one appointment with the Data Service Studio by emailing [email protected].

For full details see the Data Service Studio page.

Woman in a t-shirt and scarf is sitting at a desk flipping through a magazine.

  • Communication Research Methods II: A Sourcebook An updated version of the "bible" of how to do research in communication and media studies.
  • Handbook of Media and Communication Research: Qualitative and Quantitative Methodologies A great overview of both qualitative and quantitative approaches to content analysis and media studies research.
  • Qualitative Media Analysis The authors of this work show readers how to obtain, categorize, and analyze different media documents. They look at traditional primary documents such as newspapers and magazines but also at more recent forms–television newscasts and cyberspace.
  • Mass Communications Research Methods Originally published in 1988. Step-by-step, this book leads students from problem identification, through the mazes of surveys, experimentation, historical/qualitative studies, statistical analysis, and computer data processing to the final submission and publication in scientific or popular publications.
  • Communication Research Methods in Postmodern Culture: A Revisionist Approach The second edition of Communication Research Methods in Postmodern Culture continues to explore research from a postmodern perspective. Typical qualitative and quantitative research methods are adjusted to fit the needs of contemporary culture.
  • << Previous: Primary Sources
  • Next: Course-Specific Guides >>
  • Last Updated: Apr 13, 2024 9:10 PM
  • URL: https://guides.nyu.edu/mediaandcommunication
  • Technical Support
  • Find My Rep

You are here

Media and Communication Research Methods

Media and Communication Research Methods An Introduction to Qualitative and Quantitative Approaches

  • Arthur Asa Berger - San Francisco State University, USA
  • Description

This step-by-step introduction to conducting media and communication research offers practical insights along with the author’s signature lighthearted style to make discussion of qualitative and quantitative methods easy to comprehend. The  Fifth Edition  of  Media and Communication Research Methods  includes a new chapter on discourse analysis; expanded discussion of social media, including discussion of the ethics of Facebook experiments; and expanded coverage of the research process with new discussion of search strategies and best practices for analyzing research articles. Ideal for research students at both the graduate and undergraduate level, this proven book is clear, concise, and accompanied by just the right number of detailed examples, useful applications, and valuable exercises to help students to understand, and master, media and communication research. 

See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html .

For assistance with your order: Please email us at [email protected] or connect with your SAGE representative.

SAGE 2455 Teller Road Thousand Oaks, CA 91320 www.sagepub.com

it offers individual chapters for all types of qualitative research (semiotic, discourse, rhetorical, etc) it also includes chapter exercises and examples

Excellent Research textbook

  • A new chapter on discourse analysis (Chapter 7) defines discourse analysis and offers multiples examples for its application.
  • Expanded coverage of the research process offers students new search strategies and best practices for analyzing research articles. 
  • A new discussion of binary oppositions and culture helps students to better understand semiotics.
  • An expanded discussion of social media keeps students engaged with different perspectives of social media, including discussion of the ethics of Facebook experiments.
  • A new discussion of Gangsta Rap encourages students to rhetorically analyze American popular culture.
  • A new discussion of Foucault codes and cultural change helps students better understand the methods of textual analysis.
  • Several new topics connect key concepts to current events, such as William Dutton on the Cambridge Analytica scandal and an Iranian scholar on mistakes made by pollsters for the 2016 election.
  • New insights from experts in the field feature personal correspondence on the personality of the ethnomethodologist Harold Garfinkel and by a psychiatrist on addiction and the relationship between young people and their cell phones.
  • Comprehensiveness : From opening discussions on the nature of research to thorough treatment of the methods of textual analysis, qualitative and quantitative methods, and writing up research, breadth of coverage is the hallmark of this text.
  • Humor : Chapter-opening conversations with the author’s “Grand Inquisitor” (who poses questions about the nature of research), numerous cartoons, and references to student life use lively humor to make the material approachable and accessible.
  • Applications and exercises : In each methods chapter, applications and exercises allow students to practice and apply what they’ve learned.

Sample Materials & Chapters

Chapter 3: Semiotic Analysis

Chapter 5: Ideological Criticism

For instructors

Select a purchasing option.

Chapter 2: Media Effects

2.3 methods of researching media effects, learning objectives.

  • Identify the prominent media research methods.
  • Explain the uses of media research methods in a research project.

Media theories provide the framework for approaching questions about media effects ranging from as simple as how 10-year-old boys react to cereal advertisements to as broad as how Internet use affects literacy. Once researchers visualize a project and determine a theoretical framework, they must choose actual research methods. Contemporary research methods are greatly varied and can range from analyzing old newspapers to performing controlled experiments.

Content Analysis

Content analysis is a research technique that involves analyzing the content of various forms of media. Through content analysis, researchers hope to understand both the people who created the content and the people who consumed it. A typical content analysis project does not require elaborate experiments. Instead, it simply requires access to the appropriate media to analyze, making this type of research an easier and inexpensive alternative to other forms of research involving complex surveys or human subjects.

Content analysis studies require researchers to define what types of media to study. For example, researchers studying violence in the media would need to decide which types of media to analyze, such as television, and the types of formats to examine, such as children’s cartoons. The researchers would then need to define the terms used in the study; media violence can be classified according to the characters involved in the violence (strangers, family members, or racial groups), the type of violence (self-inflicted, slapstick, or against others), or the context of the violence (revenge, random, or duty-related). These are just a few of the ways that media violence could be studied with content-analysis techniques (Berger, 1998).

Archival Research

Any study that analyzes older media must employ archival research, which is a type of research that focuses on reviewing historical documents such as old newspapers and past publications. Old local newspapers are often available on microfilm at local libraries or at the newspaper offices. University libraries generally provide access to archives of national publications such as The New York Times or Time ; publications can also increasingly be found in online databases or on websites.

Older radio programs are available for free or by paid download through a number of online sources. Many television programs and films have also been made available for free download, or for rent or sale through online distributors. Performing an online search for a particular title will reveal the options available.

Resources such as the Internet Archive ( www.archive.org ) work to archive a number of media sources. One important role of the Internet Archive is website archiving. Internet archives are invaluable for a study of online media because they store websites that have been deleted or changed. These archives have made it possible for Internet content analyses that would have otherwise been impossible.

Surveys are ubiquitous in modern life. Questionaires record data on anything from political preferences to personal hygiene habits. Media surveys generally take one of the following two forms.

A descriptive survey aims to find the current state of things, such as public opinion or consumer preferences. In media, descriptive surveys establish television and radio ratings by finding the number of people who watch or listen to particular programs. An analytical survey, however, does more than simply document a current situation. Instead, it attempts to find out why a particular situation exists. Researchers pose questions or hypotheses about media, and then conduct analytical surveys to answer these questions. Analytical surveys can determine the relationship between different forms of media consumption and the lifestyles and habits of media consumers.

Surveys can employ either open-ended or closed-ended questions. Open-ended questions require the participant to generate answers in their own words, while closed-ended questions force the participant to select an answer from a list. Although open-ended questions allow for a greater variety of answers, the results of closed-ended questions are easier to tabulate. Although surveys are useful in media studies, effective use requires keeping their limitations in mind.

Social Role Analysis

As part of child rearing, parents teach their children about social roles. When parents prepare children to attend school for example, they explain the basics of school rules and what is expected of a student to help the youngsters understand the role of students. Like the role of a character in a play, this role carries specific expectations that differentiate school from home. Adults often play a number of different roles as they navigate between their responsibilities as parents, employees, friends, and citizens. Any individual may play a number of roles depending on his or her specific life choices.

Social role analysis of the media involves examining various individuals in the media and analyzing the type of role that each plays. Role analysis research can consider the roles of men, women, children, members of a racial minority, or members of any other social group in specific types of media. For example, if the role children play in cartoons is consistently different from the role they play in sitcoms, then certain conclusions might be drawn about both of these formats. Analyzing roles used in media allows researchers to gain a better understanding of the messages that the mass media sends (Berger, 1998).

Depth Interviews

The depth interview is an anthropological research tool that is also useful in media studies. Depth interviews take surveys one step further by allowing researchers to directly ask a study participant specific questions to gain a fuller understanding of the participant’s perceptions and experiences. Depth interviews have been used in research projects that follow newspaper reporters to find out their reasons for reporting certain stories and in projects that attempt to understand the motivations for reading romance novels. Depth interviews can provide a deeper understanding of the media consumption habits of particular groups of people (Priest, 2010).

Rhetorical Analysis

Rhetorical analysis involves examining the styles used in media and attempting to understand the kinds of messages those styles convey. Media styles include form, presentation, composition, use of metaphors, and reasoning structure. Rhetorical analysis reveals the messages not apparent in a strict reading of content. Studies involving rhetorical analysis have focused on media such as advertising to better understand the roles of style and rhetorical devices in media messages (Gunter, 2000).

Focus Groups

Like depth interviews, focus groups allow researchers to better understand public responses to media. Unlike a depth interview, however, a focus group allows the participants to establish a group dynamic that more closely resembles that of normal media consumption. In media studies, researchers can employ focus groups to judge the reactions of a group to specific media styles and to content. This can be a valuable means of understanding the reasons for consuming specific types of media.

2.3.0

Figure 2.8 Focus groups are effective ways to obtain a group opinion on media. Wikimedia Commons – CC BY-SA 3.0.

Experiments

Media research studies also sometimes use controlled experiments that expose a test group to an experience involving media and measure the effects of that experience. Researchers then compare these measurements to those of a control group that had key elements of the experience removed. For example, researchers may show one group of children a program with three incidents of cartoon violence and another control group of similar children the same program without the violent incidents. Researchers then ask the children from both groups the same sets of questions, and the results are compared.

Participant Observation

In participant observation , researchers try to become part of the group they are studying. Although this technique is typically associated with anthropological studies in which a researcher lives with members of a particular culture to gain a deeper understanding of their values and lives, it is also used in media research.

Media consumption often takes place in groups. Families or friends gather to watch favorite programs, children may watch Saturday morning cartoons with a group of their peers, and adults may host viewing parties for televised sporting events or awards shows. These groups reveal insights into the role of media in the lives of the public. A researcher might join a group that watches football together and stay with the group for an entire season. By becoming a part of the group, the researcher becomes part of the experiment and can reveal important influences of media on culture (Priest).

Researchers have studied online role-playing games, such as World of Warcraft , in this manner. These games reveal an interesting aspect of group dynamics: Although participants are not in physical proximity, they function as a group within the game. Researchers are able to study these games by playing them. In the book Digital Culture, Play, and Identity: A World of Warcraft Reader , a group of researchers discussed the results of their participant observation studies. The studies reveal the surprising depth of culture and unwritten rules that exist in the World of Warcraft universe and give important interpretations of why players pursue the game with such dedication (Corneliussen & Rettberg, 2008).

Key Takeaways

  • Media research methods are the practical procedures for carrying out a research project. These methods include content analysis, surveys, focus groups, experiments, and participant observation.
  • Research methods generally involve either test subjects or analysis of media. Methods involving test subjects include surveys, depth interviews, focus groups, and experiments. Analysis of media can include content, style, format, social roles, and archival analysis.

Media research methods offer a variety of procedures for performing a media study. Each of these methods varies in cost; thus, a project with a lower budget would be prohibited from using some of the more costly methods. Consider a project on teen violence and video game use. Then answer the following short-response questions. Each response should be a minimum of one paragraph.

  • Which methods would a research organization with a low budget favor for this project? Why?
  • How might the results of the project differ from those of one with a higher budget?

Berger, Arthur Asa. Media Research Techniques (Thousand Oaks, CA: Sage, 1998), 23–24.

Corneliussen, Hilde and Jill Walker Rettberg, “Introduction: ‘Orc ProfessorLFG,’ or Researching in Azeroth,” in Digital Culture, Play, and Identity: A World of Warcraft Reader , ed. Hilde Corneliussen and Jill Walker Rettberg (Cambridge, MA: Massachusetts Institute of Technology, 2008), 6–7.

Gunter, Barrie. Media Research Methods: Measuring Audiences, Reactions and Impact (Thousand Oaks, CA: Sage, 2000), 89.

Priest, Susanna Hornig Doing Media Research: An Introduction (Thousand Oaks, CA: Sage, 2010), 16–22.

Priest, Susanna Hornig Doing Media Research , 96–98.

  • Understanding Media and Culture: An Introduction to Mass Communication. Provided by : This adapted edition is produced by the University of Minnesota Libraries Publishing through the eLearning Support Initiative.. Located at : https://open.lib.umn.edu/mediaandculture/ . License : CC BY-NC-SA: Attribution-NonCommercial-ShareAlike

Footer Logo Lumen Candela

Privacy Policy

Logo for M Libraries Publishing

Want to create or adapt books like this? Learn more about how Pressbooks supports open publishing practices.

2.2 Media Effects Theories

Learning objectives.

  • Identify the basic theories of media effects.
  • Explain the uses of various media effects theories.

Early media studies focused on the use of mass media in propaganda and persuasion. However, journalists and researchers soon looked to behavioral sciences to help figure out the effect of mass media and communications on society. Scholars have developed many different approaches and theories to figure this out. You can refer to these theories as you research and consider the media’s effect on culture.

Widespread fear that mass-media messages could outweigh other stabilizing cultural influences, such as family and community, led to what is known as the direct effects model of media studies. This model assumed that audiences passively accepted media messages and would exhibit predictable reactions in response to those messages. For example, following the radio broadcast of War of the Worlds in 1938 (which was a fictional news report of an alien invasion), some people panicked and believed the story to be true.

Challenges to the Direct Effects Theory

The results of the People’s Choice Study challenged this model. Conducted in 1940, the study attempted to gauge the effects of political campaigns on voter choice. Researchers found that voters who consumed the most media had generally already decided for which candidate to vote, while undecided voters generally turned to family and community members to help them decide. The study thus discredited the direct effects model and influenced a host of other media theories (Hanson, 2009). These theories do not necessarily give an all-encompassing picture of media effects but rather work to illuminate a particular aspect of media influence.

Marshall McLuhan’s Influence on Media Studies

During the early 1960s, English professor Marshall McLuhan wrote two books that had an enormous effect on the history of media studies. Published in 1962 and 1964, respectively, the Gutenberg Galaxy and Understanding Media both traced the history of media technology and illustrated the ways these innovations had changed both individual behavior and the wider culture. Understanding Media introduced a phrase that McLuhan has become known for: “The medium is the message.” This notion represented a novel take on attitudes toward media—that the media themselves are instrumental in shaping human and cultural experience.

His bold statements about media gained McLuhan a great deal of attention as both his supporters and critics responded to his utopian views about the ways media could transform 20th-century life. McLuhan spoke of a media-inspired “global village” at a time when Cold War paranoia was at its peak and the Vietnam War was a hotly debated subject. Although 1960s-era utopians received these statements positively, social realists found them cause for scorn. Despite—or perhaps because of—these controversies, McLuhan became a pop culture icon, mentioned frequently in the television sketch-comedy program Laugh-In and appearing as himself in Woody Allen’s film Annie Hall .

The Internet and its accompanying cultural revolution have made McLuhan’s bold utopian visions seem like prophecies. Indeed, his work has received a great deal of attention in recent years. Analysis of McLuhan’s work has, interestingly, not changed very much since his works were published. His supporters point to the hopes and achievements of digital technology and the utopian state that such innovations promise. The current critique of McLuhan, however, is a bit more revealing of the state of modern media studies. Media scholars are much more numerous now than they were during the 1960s, and many of these scholars criticize McLuhan’s lack of methodology and theoretical framework.

Despite his lack of scholarly diligence, McLuhan had a great deal of influence on media studies. Professors at Fordham University have formed an association of McLuhan-influenced scholars. McLuhan’s other great achievement is the popularization of the concept of media studies. His work brought the idea of media effects into the public arena and created a new way for the public to consider the influence of media on culture (Stille, 2000).

Agenda-Setting Theory

In contrast to the extreme views of the direct effects model, the agenda-setting theory of media stated that mass media determine the issues that concern the public rather than the public’s views. Under this theory, the issues that receive the most attention from media become the issues that the public discusses, debates, and demands action on. This means that the media is determining what issues and stories the public thinks about. Therefore, when the media fails to address a particular issue, it becomes marginalized in the minds of the public (Hanson).

When critics claim that a particular media outlet has an agenda, they are drawing on this theory. Agendas can range from a perceived liberal bias in the news media to the propagation of cutthroat capitalist ethics in films. For example, the agenda-setting theory explains such phenomena as the rise of public opinion against smoking. Before the mass media began taking an antismoking stance, smoking was considered a personal health issue. By promoting antismoking sentiments through advertisements, public relations campaigns, and a variety of media outlets, the mass media moved smoking into the public arena, making it a public health issue rather than a personal health issue (Dearing & Rogers, 1996). More recently, coverage of natural disasters has been prominent in the news. However, as news coverage wanes, so does the general public’s interest.

2.2.0

Through a variety of antismoking campaigns, the health risks of smoking became a public agenda.

Quinn Dombrowski – Weapons of mass destruction – CC BY-SA 2.0.

Media scholars who specialize in agenda-setting research study the salience, or relative importance, of an issue and then attempt to understand what causes it to be important. The relative salience of an issue determines its place within the public agenda, which in turn influences public policy creation. Agenda-setting research traces public policy from its roots as an agenda through its promotion in the mass media and finally to its final form as a law or policy (Dearing & Rogers, 1996).

Uses and Gratifications Theory

Practitioners of the uses and gratifications theory study the ways the public consumes media. This theory states that consumers use the media to satisfy specific needs or desires. For example, you may enjoy watching a show like Dancing With the Stars while simultaneously tweeting about it on Twitter with your friends. Many people use the Internet to seek out entertainment, to find information, to communicate with like-minded individuals, or to pursue self-expression. Each of these uses gratifies a particular need, and the needs determine the way in which media is used. By examining factors of different groups’ media choices, researchers can determine the motivations behind media use (Papacharissi, 2009).

A typical uses and gratifications study explores the motives for media consumption and the consequences associated with use of that media. In the case of Dancing With the Stars and Twitter, you are using the Internet as a way to be entertained and to connect with your friends. Researchers have identified a number of common motives for media consumption. These include relaxation, social interaction, entertainment, arousal, escape, and a host of interpersonal and social needs. By examining the motives behind the consumption of a particular form of media, researchers can better understand both the reasons for that medium’s popularity and the roles that the medium fills in society. A study of the motives behind a given user’s interaction with Facebook, for example, could explain the role Facebook takes in society and the reasons for its appeal.

Uses and gratifications theories of media are often applied to contemporary media issues. The analysis of the relationship between media and violence that you read about in preceding sections exemplifies this. Researchers employed the uses and gratifications theory in this case to reveal a nuanced set of circumstances surrounding violent media consumption, as individuals with aggressive tendencies were drawn to violent media (Papacharissi, 2009).

Symbolic Interactionism

Another commonly used media theory, symbolic interactionism , states that the self is derived from and develops through human interaction. This means the way you act toward someone or something is based on the meaning you have for a person or thing. To effectively communicate, people use symbols with shared cultural meanings. Symbols can be constructed from just about anything, including material goods, education, or even the way people talk. Consequentially, these symbols are instrumental in the development of the self.

This theory helps media researchers better understand the field because of the important role the media plays in creating and propagating shared symbols. Because of the media’s power, it can construct symbols on its own. By using symbolic interactionist theory, researchers can look at the ways media affects a society’s shared symbols and, in turn, the influence of those symbols on the individual (Jansson-Boyd, 2010).

One of the ways the media creates and uses cultural symbols to affect an individual’s sense of self is advertising. Advertisers work to give certain products a shared cultural meaning to make them desirable. For example, when you see someone driving a BMW, what do you think about that person? You may assume the person is successful or powerful because of the car he or she is driving. Ownership of luxury automobiles signifies membership in a certain socioeconomic class. Equally, technology company Apple has used advertising and public relations to attempt to become a symbol of innovation and nonconformity. Use of an Apple product, therefore, may have a symbolic meaning and may send a particular message about the product’s owner.

Media also propagate other noncommercial symbols. National and state flags, religious images, and celebrities gain shared symbolic meanings through their representation in the media.

Spiral of Silence

The spiral of silence theory, which states that those who hold a minority opinion silence themselves to prevent social isolation, explains the role of mass media in the formation and maintenance of dominant opinions. As minority opinions are silenced, the illusion of consensus grows, and so does social pressure to adopt the dominant position. This creates a self-propagating loop in which minority voices are reduced to a minimum and perceived popular opinion sides wholly with the majority opinion. For example, prior to and during World War II, many Germans opposed Adolf Hitler and his policies; however, they kept their opposition silent out of fear of isolation and stigma.

Because the media is one of the most important gauges of public opinion, this theory is often used to explain the interaction between media and public opinion. According to the spiral of silence theory, if the media propagates a particular opinion, then that opinion will effectively silence opposing opinions through an illusion of consensus. This theory relates especially to public polling and its use in the media (Papacharissi).

Media Logic

The media logic theory states that common media formats and styles serve as a means of perceiving the world. Today, the deep rooting of media in the cultural consciousness means that media consumers need engage for only a few moments with a particular television program to understand that it is a news show, a comedy, or a reality show. The pervasiveness of these formats means that our culture uses the style and content of these shows as ways to interpret reality. For example, think about a TV news program that frequently shows heated debates between opposing sides on public policy issues. This style of debate has become a template for handling disagreement to those who consistently watch this type of program.

Media logic affects institutions as well as individuals. The modern televangelist has evolved from the adoption of television-style promotion by religious figures, while the utilization of television in political campaigns has led candidates to consider their physical image as an important part of a campaign (Altheide & Snow, 1991).

Cultivation Analysis

The cultivation analysis theory states that heavy exposure to media causes individuals to develop an illusory perception of reality based on the most repetitive and consistent messages of a particular medium. This theory most commonly applies to analyses of television because of that medium’s uniquely pervasive, repetitive nature. Under this theory, someone who watches a great deal of television may form a picture of reality that does not correspond to actual life. Televised violent acts, whether those reported on news programs or portrayed on television dramas, for example, greatly outnumber violent acts that most people encounter in their daily lives. Thus, an individual who watches a great deal of television may come to view the world as more violent and dangerous than it actually is.

Cultivation analysis projects involve a number of different areas for research, such as the differences in perception between heavy and light users of media. To apply this theory, the media content that an individual normally watches must be analyzed for various types of messages. Then, researchers must consider the given media consumer’s cultural background of individuals to correctly determine other factors that are involved in his or her perception of reality. For example, the socially stabilizing influences of family and peer groups influence children’s television viewing and the way they process media messages. If an individual’s family or social life plays a major part in her life, the social messages that she receives from these groups may compete with the messages she receives from television.

Key Takeaways

  • The now largely discredited direct effects model of media studies assumes that media audiences passively accept media messages and exhibit predictable reactions in response to those messages.
  • Credible media theories generally do not give as much power to the media, such as the agenda-setting theory, or give a more active role to the media consumer, such as the uses and gratifications theory.
  • Other theories focus on specific aspects of media influence, such as the spiral of silence theory’s focus on the power of the majority opinion or the symbolic interactionism theory’s exploration of shared cultural symbolism.
  • Media logic and cultivation analysis theories deal with how media consumers’ perceptions of reality can be influenced by media messages.

Media theories have a variety of uses and applications. Research one of the following topics and its effect on culture. Examine the topic using at least two of the approaches discussed in this section. Then, write a one-page essay about the topic you’ve selected.

  • Internet habits
  • Television’s effect on attention span
  • Advertising and self-image
  • Racial stereotyping in film
  • Many of the theories discussed in this section were developed decades ago. Identify how each of these theories can be used today? Do you think these theories are still relevant for modern mass media? Why?

David Altheide and Robert Snow, Media Worlds in the Postjournalism Era (New York: Walter de Gruyter, 1991), 9–11.

Dearing, James and Everett Rogers, Agenda-Setting (Thousand Oaks, CA: Sage, 1996), 4.

Hanson, Ralph. Mass Communication: Living in a Media World (Washington, DC: CQ Press, 2009), 80–81.

Hanson, Ralph. Mass Communication , 92.

Jansson-Boyd, Catherine. Consumer Psychology (New York: McGraw-Hill, 2010), 59–62.

Papacharissi, Zizi. “Uses and Gratifications,” 153–154.

Papacharissi, Zizi. “Uses and Gratifications,” in An Integrated Approach to Communication Theory and Research , ed. Don Stacks and Michael Salwen (New York: Routledge, 2009), 137.

Stille, Alexander. “Marshall McLuhan Is Back From the Dustbin of History; With the Internet, His Ideas Again Seem Ahead of Their Time,” New York Times , October 14, 2000, http://www.nytimes.com/2000/10/14/arts/marshall-mcluhan-back-dustbin-history-with-internet-his-ideas-again-seem-ahead.html .

Understanding Media and Culture Copyright © 2016 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

artificial intelligence

human-machine interaction

learning + teaching

architecture

consumer electronics

human-computer interaction

wearable computing

bioengineering

machine learning

environment

social science

entertainment

computer science

storytelling

engineering

prosthetics

developing countries

civic technology

social media

social robotics

communications

augmented reality

computer vision

public health

urban planning

neurobiology

virtual reality

synthetic biology

biotechnology

social networks

affective computing

climate change

biomechanics

transportation

social change

data visualization

behavioral science

fabrication

data science

cognitive science

zero gravity

agriculture

prosthetic design

manufacturing

racial justice

neural interfacing and control

3d printing

sustainability

banking and finance

electrical engineering

human augmentation

civic action

cryptocurrency

construction

microfabrication

performance

open source

language learning

marginalized communities

natural language processing

microbiology

social justice

internet of things

autonomous vehicles

mental health

collective intelligence

visualization

mechanical engineering

interactive

clinical science

nanoscience

nonverbal behavior

long-term interaction

sports and fitness

biomedical imaging

orthotic design

pharmaceuticals

mechatronics

soft-tissue biomechanics

open access

autism research

gender studies

assistive technology

member company

real estate

womens health

decision-making

digital currency

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • View all journals
  • My Account Login
  • Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • Review Article
  • Open access
  • Published: 21 February 2018

Media use and brain development during adolescence

  • Eveline A. Crone 1 &
  • Elly A. Konijn 2  

Nature Communications volume  9 , Article number:  588 ( 2018 ) Cite this article

184k Accesses

196 Citations

254 Altmetric

Metrics details

  • Cognitive neuroscience

The current generation of adolescents grows up in a media-saturated world. However, it is unclear how media influences the maturational trajectories of brain regions involved in social interactions. Here we review the neural development in adolescence and show how neuroscience can provide a deeper understanding of developmental sensitivities related to adolescents’ media use. We argue that adolescents are highly sensitive to acceptance and rejection through social media, and that their heightened emotional sensitivity and protracted development of reflective processing and cognitive control may make them specifically reactive to emotion-arousing media. This review illustrates how neuroscience may help understand the mutual influence of media and peers on adolescents’ well-being and opinion formation.

Similar content being viewed by others

research media

Diverse adolescents’ transcendent thinking predicts young adult psychosocial outcomes via brain network development

Rebecca J. M. Gotlieb, Xiao-Fei Yang & Mary Helen Immordino-Yang

research media

Windows of developmental sensitivity to social media

Amy Orben, Andrew K. Przybylski, … Rogier A. Kievit

research media

Associations between social behaviors and experiences with neural correlates of implicit emotion regulation in middle childhood

Keara C. Geckeler, Deanna M. Barch & Nicole R. Karcher

Introduction

Media play a tremendously important role in the lives of today’s youth, who grow up with tablets and smartphones, and do not remember a time before the internet, and are hence called ‘digital natives’ 1 , 2 . The current generation of the adolescents lives in a media-saturated world, where media is used not only for entertainment purposes, such as listening to music or watching movies, but is also used increasingly for communicating with peers via WhatsApp, Instagram, SnapChat, Facebook, etc. Taken together, these media-related activities comprise roughly 6–9 h of an American youth’s day, excluding home- and schoolwork ( https://www.commonsensemedia.org/the-common-sense-census-media-use-by-tweens-and-teens-infographic ) 3 , 4 . Social media enable people to share information, ideas or opinions, messages, images and videos. Today, all kinds of media formats are constantly available through portable mobile devices such as smartphones and have become an integrated part of adolescents’ social life 5 .

Adolescence, which is defined as the transition period between childhood and adulthood (approximately ages 10–22 years, although age bins differ between cultures), is a developmental stage in which parental influence decreases and peers become more important 6 . Being accepted or rejected by peers is highly salient in adolescence, also there is a strong need to fit into the peer group and they are highly influenced by their peers 7 . Therefore, it is imperative that we understand how adolescents process media content and peers’ feedback provided on such platforms. Adolescents’ social lives in particular seem to occur for a large part through smartphones that are filled with friends with whom they are constantly connected (cf. “A day not wired is a day not lived” 5 , 8 ). This is where they monitor their peer status, check peers’ feedback, rejection and acceptance messages, and encounter peers as (idealized) images 9 on screens 5 , 8 , 10 . Likely, this plays an important role in adolescent development, and we therefore focus primarily on adolescents’ social media use 11 . Most media research to date is based on correlational and self-report data, and would be strengthened by integrating experimental paradigms and more objectively assessed behavioral, emotional, and neural consequences of experimentally induced media use.

Recently, cognitive neuroscience studies have used structural and functional magnetic resonance imaging (fMRI) to examine how the adolescent brain changes over the course of the adolescent years 6 . The results of several studies demonstrate that cognitive and socio-affective development in adolescence is accompanied by extensive changes in the structure and function of the adolescent brain 6 . Structurally, white matter connections increase, allowing for more successful communication between different areas of the brain 12 . The maturation of these connections is related to behavioral control, for example, connections between the prefrontal cortex and the subcortical striatum mediate age-related improvements in the ability to wait for a reward 13 . In addition to these changes in white matter connections, neurons in the brain grow in number between conception and childhood, with greatest synaptic density in early childhood. This increase in synaptic density co-occurs with synaptic pruning, and pruning rates increase in adolescence, resulting in a decrease in synaptic density in late childhood and adolescence 14 . Structural MRI research revealed that the peak in grey matter volume probably occurs before the age of 10 years, but dynamic non-linear changes in grey matter volume continue over the whole period of adolescence, and the timing is region-specific 15 . Interestingly, changes in grey matter volume are observed most extensively in brain regions that are important for social understanding and communication such as the medial prefrontal cortex, superior temporal cortex and temporal parietal junction 16 . Figure  1 displays the extensive changes in the human cortex during adolescence.

figure 1

Longitudinal changes in brain structure across adolescence (ages 8–30). a Consistent patterns of change across four independent longitudinal samples (391 participants, 852 scans), with increases in cerebral white matter volume and decreases in cortical grey matter volume (adapted from Mills et al., 2016, NeuroImage 105 ). b Of the two main components of cortical volume, surface area and thickness, thinning across ages 8 to 25 years is the main contributor to volume reduction across adolescence, here displayed in the Braintime sample (209 participants, 418 scans). Displayed are regional differences in annual percentage change (APC) across the whole brain, the more the color changes in the direction of green to blue, the larger the annual decrease in volume (adapted from Tamnes et al., 2017, J Neuroscience 15 )

Given that brain regions involved in many social aspects of life are undergoing such extensive changes during adolescence, it is likely that social influences—which also occur through the use of social media as the internet connects adolescents to many people at once—are particularly potent at this age in coalescence with their media use. Also, subcortical brain regions undergo pronounced changes during adolescence 17 . There is evidence that the density of grey matter volume in the amygdala, a structure associated with emotional processing, is related to larger offline social networks 18 , as well as larger online social networks 19 , 20 . This suggests an important interplay between actual social experiences, both offline and online, and brain development.

This review brings together research on media use among adolescents with neural development during adolescence. We will specifically focus on the following three aspects of media exposure of interest to adolescent development 21 : (1) social acceptance or rejection, (2) peer influence on self-image and self-perception, and (3) the role of emotions in media use. Finally, we discuss new perspectives on how the interplay between media exposure and sensitive periods in brain development may make some individuals more susceptible to the consequences of media use than others.

Being accepted or rejected online

Experiencing acceptance or rejection when communicating via digital media is an impactful social experience. Extensive research, including large meta-analyses, has demonstrated that social rejection in a computerized environment can be experienced similarly as face-to-face rejection and bullying, although the prevalence of cyberbullying is generally lower 22 , 23 (and studies vary widely: prevalence rates depend on how cyberbullying is defined and measured). In all, cyberbullying peaks during adolescence 24 and large overlap has been found between victims and bullies. In part, this overlap could be explained by victimized adolescents seeking exposure to antisocial and risk behavior media content 25 . The next subsections will describe recent discoveries in neuroscience on the neural responses to online rejection and acceptance.

Neural responses to online social rejection

The emotional and neural effects of being socially excluded have been well captured by research involving the Cyberball Paradigm 26 ( https://cyberball.wikispaces.com/ ). Cyberball is a virtual ball-toss game in which the study participant tosses a ball with two simulated players (so-called confederates) via a screen. After a round of fair play, the confederates, who only throw the ball to each other, exclude the participant in the rejection condition. This results in pronounced negative effects on the participants’ feeling to belong, ostracism, sense of control, and self-esteem 26 . Even though the paradigm was not designed to study online rejection as it occurs today on social media, the findings of prior Cyberball studies may provide an important starting point for understanding the processes involved in online rejection. In fact, inspired by Cyberball, a Social Media Ostracism paradigm has recently been developed by applying a Facebook format to study the effects of online social exclusion 27 .

Using functional MRI (fMRI), researchers have observed increased activity in the orbitofrontal cortex and insula after participants experienced exclusion, possibly signaling increased arousal and negative affect 28 . In addition, stronger activity in the dorsal anterior cingulate cortex (ACC) is observed in adolescents and young adults with a history of being socially excluded 29 , maltreated 30 , or insecure attachment, whereas spending more time with friends reduced ACC response in adolescents to social exclusion 31 . This may possibly protect adolescents against the negative influence of ostracism or cyberbullying, although all these studies are correlational. Therefore, it remains to be determined whether environment influences brain development or vice versa. Moreover, ACC and insula activity have also been explained as signaling a highly significant event because the same regions are also active when participants experience inclusion 32 . Furthermore, studies with adolescents observed specific activity in the ventral striatum 33 , and in the subgenual ACC when adolescents were excluded in the online Cyberball computer game 34 , 35 , the latter region is often implicated in depression 36 . Thus, being rejected was associated with activity in brain regions that are also activated when experiencing salient emotions 37 , 38 . These studies may indicate a specific window of sensitivity to social rejection in adolescence, which may be associated with the enhanced activity of striatum and subgenual ACC in adolescence 33 , 36 .

Social rejection has also been studied using task paradigms that mirror online communication more specifically. In the social judgment paradigm, participants enter a chat room, where others can judge their profile pictures based on first impression 39 . This can result in being rejected or accepted by others in a way that is directly comparable to social media environments where individuals connect based on first impression (for example,’liking’ on Instagram). A developmental behavioral study (participants between 10 and 23 years) showed that young adults expected to be accepted more than adolescents. Moreover, these adults, relative to adolescents, adjusted their evaluations of others more based on whether others accepted or rejected them, possibly indicating self-protecting biases 40 (Fig.  2 ). Neuroimaging studies revealed that, being rejected based only on one’s profile pictures resulted in increased activity in the medial frontal cortex, in both adults 41 and children 42 , and studies in adolescents showed enhanced pupil dilation, a response to greater cognitive load and emotional intensity, to rejection 43 .

figure 2

Adolescents’ expectations and adjustments of being liked and liking others. Social evaluation study in which participants between ages 10 and 23 years rated other peers on whether they liked the other person, whether they believed the other would like them, and a post scan rating of liking the other person after having received acceptance or rejection feedback from the other person. The faces used in this adaptation of figure are cartoon approximations of the original stimuli used in ref. 40 ; to see the original stimuli, please refer to ref. 40 . The left graph shows that adolescents expect least to be liked by the other before receiving feedback (question B). The right graph shows a developmental increase in distinguishing between liking and disliking based on feedback from the other person (question D). (Adapted with permission from Rodman, 2017, PNAS 40 )

Taken together, these studies suggest that adolescents show stronger rejection expectation than adults, and subgenual ACC and medial frontal cortex are critically involved when processing online exclusion or rejection. In the next section, we describe how the brain of adolescents and adults respond to receiving positive feedback and likes from others.

Neural responses to online social acceptance

The positive feeling of social acceptance online is endorsed through the receipt of likes, one’s cool ratio (i.e., followers > following; Business Insider, 11 June 2014: http://www.businessinsider.com/instagram-cool-ratio-2014–6?international=true&r=US&IR=T .) or popularity, positive comments and hashtags, among other forms of reward 44 , 45 . Neuropsychological research showed that being accepted evokes activation in similar brain regions, as when receiving other rewards such as money or pleasant tastes 38 . Most pronounced activity was found in the ventral striatum, together with the ventromedial prefrontal cortex and ventral tegmental area, which is consistently reported as a key region in the brain for the subjective experience of pleasure and reward 46 , including social rewards 47 . Likewise, being socially accepted through likes in the chat room task resulted in increased activity in the ventral striatum in children 42 , adolescents 48 , 49 and adults 41 , 50 . This response is blunted in adolescents who experience depression 36 , or who have experienced a history of maternal negative affect 51 . Apparently, prior social experiences—such as parental relations—are an important factor for understanding which adolescents are more sensitive to the impact of social media 51 . In this regard, media research showed that popularity moderates depression 10 and that attachment styles and loneliness increases the likelihood to seek socio-affective bonding with media figures 52 .

Interestingly, several studies and meta-analyses using gambling and reward paradigms have reported that activity in the ventral striatum to monetary rewards peaks in mid-adolescence 53 , 54 , 55 (Fig.  3 ; see Box  1 for views on adolescent risk taking in various contexts). These findings may suggest general reward sensitivity in adolescence such that reward centers that respond to monetary reward may also show increased sensitivity to social reward in adolescence. Social reward sensitivity may be a strong reinforcer in social media use. A prior study in adults showed that activity in the ventral striatum in response to an increase in one’s reputation, but not wealth, predicted frequency of Facebook use 56 . In a similar vein, adolescents showed sensitivity to “likes” of peers on social media 44 , 57 . In a controlled experimental study, adolescents showed more activity in the ventral striatum when viewing images with many vs. few likes, and this activation was stronger for older adolescents and college students compared to younger adolescents 57 . Thus, the same region that is active when being liked on the basis of first impression of a profile picture 48 , is also activated when viewing images that are liked by others, especially in mid-to-late adolescence, possibly extending into adulthood 57 (see also ref. 58 for similar findings on music preference). These findings suggest that heightened reward sensitivity in mid-adolescence that was previously observed for monetary rewards 53 may also be present for social rewards such as likes on Instagram. However, further research is needed to examine whether this is a specific sensitivity in early, mid or late adolescence, or perhaps this social reward sensitivity emerges in adolescence and remains in adulthood.

figure 3

Longitudinal neural developmental pattern of reward activity in adolescence. Longitudinal two-wave neural developmental pattern of nucleus accumbens activation during winning vs. losing, based on 249, and 238 participants who were included on the first and second time point, respectively (leading to 487 included brain scans in total). A quadratic pattern of brain activity was observed in the nucleus accumbens for the contrast winning > losing money in a gambling task, with highest reward activity in mid-adolescence. (Adapted with permission from Braams et al. 55 )

Online peer influence

In addition to adolescents’ sensitivity to the feeling of belonging to the peer group 59 , the peer group also has a strong influence on opinions and decision-making 60 . Peers can exert a strong influence on adolescents through user-generated content on social media 5 , 61 . Co-viewing, sharing, and discussing media content with peers is common practice among adolescents in line with their developmental stage in which peers become more important than others. For example, adolescent girls often share pictures and comment on the “ideal” degree of slimness of the models they see via media when deciding how a ‘normal’ body should actually look 62 , 63 . Several recent neuroimaging studies, summarized below, have examined how the adolescent brain responds to peer comments about others and self, and subsequent behavioral adjustments and opinion changes. Even though not all of these designs were specific for online environments, the findings provide important starting points for understanding how adolescents are influenced by peer feedback in an online environment.

Neural responses to online peer feedback

Neuroimaging studies in adolescents showed that peer feedback indeed influences adolescents’ behavior. Neural correlates may provide more insight in the specific parts of the feedback that drives these behavioral sensitivities 64 . One way this is demonstrated is by having individuals rate certain products such as music preference or facial attractiveness. After their initial rating, participants received feedback from others, which was either congruent or incongruent with their initial rating. Afterwards, individuals made their ratings again, and the researchers analyzed whether behavior changed in the direction of the peer feedback. Indeed, both adults and adolescents adjusted their behavior towards the group norm 58 , 64 , demonstrating general sensitivity to peer influence. Furthermore, when receiving peer feedback that did not match their own initial rating, participants showed enhanced activity in the ACC and insula, two regions involved in detecting norm violations 58 , 65 . More specifically, increased ACC activity was associated with more adjustment to fit peer feedback norms in adolescents 58 .

Peer feedback effects are not only found for how individuals rate products, but also can strongly influence how they view themselves. Girls are especially sensitive to pressure for media’s thin-body ideal, and peer feedback supporting this ideal is associated with more body dissatisfaction 62 , 63 . We recently showed that norm-deviating feedback on ideal body images resulted in activity in the ACC-insula network in young females (18–19-years), which was stronger for females with lower self-esteem 66 (Fig.  4 ). Interestingly, the girls also adjusted their ratings on what they believed was a normal or too-thin looking body in the direction of the group norm. Together, these findings suggest that peer feedback through social media can influence the way adolescents look at themselves and others.

figure 4

The Body Image Paradigm to study combined media and peer influence. This paradigm is designed for experiments to study the influence of peers on body image perception. a Participants are presented with a bikini model, and they can make a judgment whether the model is too thin or of normal weight. Their response appears on the left side of the model. Then, they are presented with ostensible peer feedback (the peer norm). b When this feedback deviates from their own judgment, this is associated with increased activity in dorsal anterior cingulate cortex (dACC) and bilateral insula, regions often implicated in processing norm violations. c Responses are larger for participants with lower self-esteem (Adapted from Van der Meulen et al. 66 )

Neural responses to prosocial peer feedback

Interestingly, however, we also found that peer feedback can influence social behavior in a prosocial direction, for example, by having peers positively evaluate prosocial behavior that benefits the group. Neuroimaging studies of social cognition have demonstrated that thinking about other peoples’ intentions or feelings is associated with activity in a network of regions, including medial prefrontal cortex, the superior temporal sulcus and the temporal parietal junction, also referred to as the social brain network 67 . In an online peer influence study, adolescents could donate money to the group, which would benefit not only themselves but also others. Prior to the study, the participants met the other participants (confederate peers) that were not part of the group that was dividing the money. These peers, however, gave online feedback through likes on the participants’ choices. More likes were given when participants donated more to the group. This feedback was followed by higher donations 68 , and was associated with enhanced activation in the social brain network, such as the medial frontal cortex, temporal parietal junction and superior temporal sulcus 69 . Notably, the change in social brain activity in the peer feedback condition was more pronounced for younger adolescents (ages 12–13-years) compared to mid-adolescents (15–16-years) 69 . Together, these studies suggest that early adolescence may be an especially sensitive period for social media influences in risk-perception 60 as well as prosocial directions 69 . These findings fit well with Blakemore and Mills’ 6 suggestion that, adolescence may be a sensitive period for social reorientation and social brain development, although results vary regarding whether sensitive periods are more pronounced in early or mid-adolescence. Understanding the specific sensitive windows may be important to target future interventions. Therefore, future research is needed to examine whether this is a specific sensitivity in early-to-mid-adolescence, or whether and how social reward sensitivity remains in adulthood.

Precedence of emotions and impulsivity

A third factor that affects how adolescents process (social) media relates to the intense emotional experiences that usually accompany adolescence 70 . Emotional needs may guide adolescents’ media use and processing; for example, feeling lonely may ease the path to connect to a media figure or to rely on social media for one’s social interaction 52 , 71 , 72 . Furthermore, being engaged in media fare may evoke strong emotional reactions, such as when playing violent video games or when experiencing online rejection 73 , 74 . Adolescents in particular appear to be guided by their emotions in how they use and process media 5 . For example, the degree of anger and frustration experienced by early-to-mid adolescent victims of bullying was associated with increased exposure to media fare portraying antisocial, norm-crossing and risk-taking behaviors over time, making these youngsters more likely to become bullies themselves 25 . Another study showed that anger instigated a more lenient moral tolerance of antisocial media content in early adolescents but not in young adults 74 . Furthermore, adolescent victims of bullying who regulated their anger through maladaptive strategies (e.g., other-blame, rumination) showed higher levels of cyberbullying themselves 25 .

Neural responses related to retaliation and emotion regulation

Neuroscience studies can potentially provide more insight in the moral leniency following adolescents’ anger. Neuroscience research on adolescent development has shown that the development of the prefrontal cortex, an important region for emotion regulation, matures until early adulthood 15 , 75 . A better understanding of the interactions between brain regions that show direct responses to emotional content, and brain regions that help to regulate these responses can possibly elucidate how adolescents regulate their behavior related to media-based interactions.

Several studies examined this question by focusing on anger following rejection. Rejected-based anger often leads to retaliatory actions. Several paradigms have also shown that adolescents are more aggressive after being rejected online. For example, they gave longer noise blasts and shared less of their resources with people who previously rejected them in an online environment 41 , 73 , 76 . More activity in dorsolateral prefrontal cortex (DLPFC) after rejection was associated with less subsequent aggression 41 and more giving 76 , possibly indicating that increased activity in the DLPFC helps individuals to control their anger following rejection. Other research showed changes in neural coupling when young men played violent video games 77 . Thus, social rejection can evoke anger, but some adolescents may be better at regulating these emotions than others. Adolescents who regulate these emotions better show stronger activity in DLPFC, a region known to be involved in self-control 41 , 75 .

Applying adaptive emotion regulation strategies (e.g., putting into perspective, refocusing, reappraisal) possibly requires enhanced demands on DLPFC 78 . Possibly, the late maturation of the DLPFC, together with heightened emotional reactivity, may make adolescents more likely to be influenced by media content. For example, research showed that emotional experiences biased participants’ perception of media footage: despite being told beforehand that the footage contained fiction-based materials, they attributed significantly higher levels of realism to it under conditions of emotional arousal than in a neutral state 79 . Subsequently, participants attributed more information value to the fiction-based footage up to similar levels as to the reality-based clip.

One possible direction to better understand how adolescents deal with emotional media content is by examining parallel processes. It is likely that engaging in media is associated with multiple processes 79 such as the fast processing of emotions associated with engagement, sensation-seeking and emotional responses to media content, as well as more reflective and relatively slower processes, such as perspective taking and emotion regulation 80 . We interpret such parallel processing as coordinated networks of an inter-related imbalance between heightened emotional responsivity and protracted development of reflective processing and cognitive control 75 . For example, adolescents show a peak in neural responsivity to emotional faces in the ventral striatum and anterior insula, compared to children and adults 81 , 82 . In addition, adolescents show protracted development of social brain regions implicated in perspective taking 6 , 83 , and flexible engagement of lateral prefrontal cortex, possibly depending on personal goals 84 . When media encounters are emotionally gripping, such parallel processing may explain why people may take (fake) information from media as real—‘it just feels real’ 79 . The emotional response seems to blur the borders between fact and fake; the instantaneous response based on emotional or accompanying sensory feedback apparently takes (momentary) control precedence over cognitive reflection and biases subsequent information processing 79 . These findings may perhaps also explain how social reality can be perceived in accordance to how the world is represented in emotion-arousing, sensationalist or populist media messages, even when it concerns so-called “fake news”. In all, these suggestions call for further empirical testing, specifically also comparing adolescents and adults, in which the pattern of brain changes is combined with behavioral research and opinion formation.

Another intriguing question for future research is whether regulation or control of media-generated emotions can be trained. It was previously found that training of executive functions is associated with increased activity in DLPFC 85 , but it remains an open question whether activity in DLPFC can be influenced by (aggression) regulation training and behavioral control, and whether this results in changes in the functional and structural properties of the brain. If such training were possible, video games and immersive virtual environments might provide even more useful training environments. In this respect, promising projects are ongoing, testing the use of biofeedback videogames to help youth cope with stress and anxiety and identify physiological markers, and patterns of emotion regulation 86 . Game interventions are also developed to help children to cope effectively with anxiety-inducing situations 87 . These enrichment and training programs may also be useful to test specific media sensitivities by controlling the amount of media exposure. Such designs will have important benefits over studies examining correlations between naturally occurring behaviors and developmental outcomes, which often do not allow for control of other variables such as temperament or environmental changes.

Taken together, individuals differ in how they respond to media content, especially when these evoke emotional responses or are evaluated in an emotion-aroused state. There are only preliminary studies available that link these individual differences to brain development, but possibly the regulating role of DLPFC is important to control emotional responses to rejection, fake news, violent video games, or appealing ideals. These are all questions that need to be addressed in future research, but are highly relevant given the developmental stage and time adolescents engage with these prevalent forms of media.

Outlook for future studies

We described research in three directions that we believe are crucial in understanding how the omnipresent use of (social) media among today’s adolescents may influence them, through the following: (1) social rejection and acceptance, (2) peer influence on opinions of self and others, and (3) emotion precedence in media use and effects. We have provided a first overview of how neuroscience research may aid in a better understanding of these influences in a mediated context. However, study results appear to vary regarding the specific adolescent age ranges; sometimes effects seem specific for early- or mid-adolescents, while in other studies adolescents and (young) adults do not differ and the indicated age ranges also vary widely (e.g., for some, ‘late adolescence’ is between 13 and 17 years old, whereas in other reports, 17–25 years of age is referred to as ‘late’, see also ref. 88 ). Most adolescent samples are relatively older, whereas early adolescents (aged 10–15) are understudied and seem of particular interest in regards of sensitivity in these three areas. Therefore, further research is needed to align specific age ranges to developmental stages.

Current media technology opens possibilities to understand sensitivities to media and peers in adolescence. For example, YouTube, Facebook, and Instagram provide excellent environments to study combined with media content and peers’ feedback in adolescence 27 , 89 . Moreover, such social media platforms introduced so-called user-generated content 90 and options to present and express oneself in media environments have increased tremendously, thereby increasing media’s social functions. Taking the ethical aspects of performing social media research into account, as it can impinge on users’ privacy, social media devices also provide great opportunities to understand how media exposure affects day-to-day fluctuations in mood and self-esteem.

A critical question that remains largely unanswered is how adolescents’ abundant media use may impact them developmentally in terms of structural brain development, functional brain development, and related behavior. The scientific evidence thus far is still scarce and results are mixed 91 , 92 . For example, digital-screen time and mental well-being appear to be best described by quadratic functions with moderate use not intrinsically harmful 93 . Several recent studies have shown that habitual use is associated with a reduced ability to delay gratification 94 , but can also have positive consequences such as increased ability to flexibly switch between tasks 95 and feeling socially connected 96 . Adolescents who spend more time on their mobile devices may engage less in ‘real’ offline social interactions and the consequences of these communication changes are not yet well understood. Perhaps, consequences differ among those who experience their online interactions as similar to their offline interactions, or as separate worlds. Important moderators and mediators should also be taken into account to understand how online communication is processed. Finally, being constantly online also affects sleep patterns, which impacts mood as well 97 . In all, the majority of these studies are based on self-reported new media use and outcomes. Integrating both experimental methods and neuroscientific insights may advance our understanding of who is susceptible under which circumstances to which effects, positive or negative.

In this review, we described the emerging body of research focused on how new media use is processed by the still developing adolescent brain. In particular, we highlighted the neural systems that are associated with behaviors that are important for social media use, including social reward processing, emotion-based processing, regulation, and mentalizing about others 98 . As these neural systems are still underdeveloped and undergoing significant changes during adolescence, they may contribute to sensitivity to online rejection, acceptance, peer influence, and emotion-loaded interactions in media-environments. In future research, it will be important to understand these processes better, especially the specific developmental sensitivities, as well as to understand which adolescents are more and less susceptible for beneficial or undesirable media influences.

The review of the literature suggests that peer sensitivities are possibly larger in adolescents than in older age groups. Peer influence effects have been well demonstrated in adolescent decision-making research, showing that adolescents take more risks in the presence of peers and when peers stimulate risk-taking 99 . This seems to hold similarly for peer influence online through online comments, also with less risky behaviors 62 . These findings have been interpreted to suggest that adolescents have a strong need to follow norms of their peer group and show in-group adherence 100 . There is a strong need for studies that experimentally test whether increased influence of peers, possibly through developing social brain regions, combined with strong sensitivity to acceptance and rejection, makes adolescence a tipping point in development for how social media can influence their self-concept and expectations of self and others. It is likely that these sensitivities are not related to one process specifically, but the combination of developmental brain networks and associated behaviors 75 , 84 . A critical question for future research is how neural correlates observed in this review predict future behavior or emotional responses in adolescents.

Social media have at least the following two important functions: (i) socially connect with others (the need to belong) and (ii) manage the impression individuals make on others (reputation building, impression management, and online self-presentation) 98 . The emerging trajectory of acceptance sensitivity, peer ‘obedience’, and emotion precedence may make adolescents specifically susceptible to sensationalist and fake news, unrealistic self-expectations, or regulating emotions through adverse use of media. Important questions for future research relate to unraveling whether adolescents are more sensitive to these news items than children and adults, who is most sensitive to which kind of media influence, how (one-sided) media use may influence adolescent development over time, and understand not only the risks but also how media provides opportunities for positive development, such as engaging with friends, forming new peer relations, and experiment with uncertainties or overcoming fears. Studying the interplay between media use and sensitive periods in brain development will provide important directions for understanding how media may impact youth and who is most vulnerable and under which conditions. Key questions for future research are to understand whether recent changes in media usage, delivery, dosage, and levels of engagement (e.g., as more active creators and participants, for example) are leading to different or amplified neural responses in adolescents relative to adults. Using longitudinal research, it will be important to test whether there is evidence that the still developing adolescent brain is more sensitive to, or more likely to be shaped by these changing patterns of media usage. 1

Box 1 Multiple perspectives on adolescent risk-taking

Adolescence is often defined as a period of increased risk taking and sensation-seeking, this is observed across cultures 101 and across species 102 . However, the way risk-taking is expressed differs across generations. In middle ages, risk-taking in adolescence took place through reckless fights and wars. In contrast, in the late 20th century and early 21st century, adolescents were more prone towards risk-taking in context of alcohol, sex, and drug experimentation 103 . Recently, through social media, new forms of risk-taking are expressed, such as excessive or unlimited self-disclosure or sexting 104 . These observations suggest that social media may be the new way in which sensation-seeking behavior is expressed, which is possibly an adolescent-specific tendency to explore and learn to adapt to new social environments.

Prensky, M. Digital natives, digital immigrants part 1. Horizon 9 , 1–6 (2001).

Google Scholar  

Ståhl, T. How ICT savvy are digital natives actually? Nord. J. Digit. Lit. 12 , 89–108 (2017).

Article   Google Scholar  

Rideout, V. The Common Sense Census: Media Use by Tweens and Teens (Common Sense Media, San Francisco, 2015).

Livingstone, S., Mascheroni, G., Ólafsson, K. & Haddon, L. Children’s online risks and opportunities: Comparative findings from EU Kids Online and Net Children Go Mobile http://eprints.lse.ac.uk/60513/ . (2014).

Konijn, E. A., Veldhuis, J., Plaisier, X. S., Spekman, M. & den Hamer, A. H. in The Handbook of Psychology of Communication Technology (ed. Sundar. S.) (Wiley-Blackwell, Hoboken, NJ, 2015).

Blakemore, S. J. & Mills, K. L. Is adolescence a sensitive period for sociocultural processing? Annu. Rev. Psychol. 65 , 187–207 (2014).

Article   PubMed   Google Scholar  

Sebastian, C. L. et al. Developmental influences on the neural bases of responses to social rejection: implications of social neuroscience for education. Neuroimage 57 , 686–694 (2011).

Valkenburg, P. M. & Taylor Piotrowski, J. How Media Attract and Affect Youth (Yale University Press., Yale, 2017).

Ma, J. & Yang, Y. What can we know from selfies - An exploratory study on selfie and the implication for marketers. In Global Marketing Conference at Hong Kong Proceedings 597–601 (Global Alliance of Marketing & Management Associations, 2016).

Nesi, J. & Prinstein, M. J. Using social media for social comparison and feedback-seeking: gender and popularity moderate associations with depressive symptoms. J. Abnorm. Child. Psychol. 43 , 1427–1438 (2015).

Wartella, E. et al. What kind of adults will our children become? the impact of growing up in a media-saturated world. J. Child. Media 10 , 13–20 (2016).

Ladouceur, C. D., Peper, J. S., Crone, E. A. & Dahl, R. E. White matter development in adolescence: the influence of puberty and implications for affective disorders. Dev. Cogn. Neurosci. 2 , 36–54 (2012).

Article   PubMed   PubMed Central   Google Scholar  

Achterberg, M., Peper, J. S., Van Duijvenvoorde, A. C., Mandl, R. C. & Crone, E. A. Fronto-striatal white matter integrity predicts development in delay of gratification: a longitudinal study. J. Neurosci. 36 , 1954–1961 (2016).

Article   CAS   PubMed   Google Scholar  

Huttenlocher, P. R. Morphometric study of human cerebral cortex development. Neuropsychologia 28 , 517–527 (1990).

Tamnes, C. K. et al. Development of the cerebral cortex across adolescence: a multisample study of inter-related longitudinal changes in cortical volume, surface area, and thickness. J. Neurosci. 37 , 3402–3412 (2017).

Article   CAS   PubMed   PubMed Central   Google Scholar  

Mills, K. L., Lalonde, F., Clasen, L. S., Giedd, J. N. & Blakemore, S. J. Developmental changes in the structure of the social brain in late childhood and adolescence. Soc. Cogn. Affect. Neurosci. 9 , 123–131 (2014).

Goddings, A. L. et al. The influence of puberty on subcortical brain development. Neuroimage 88 , 242–251 (2014).

Bickart, K. C., Wright, C. I., Dautoff, R. J., Dickerson, B. C. & Barrett, L. F. Amygdala volume and social network size in humans. Nat. Neurosci. 14 , 163–164 (2011).

Von Der Heide, R., Vyas, G. & Olson, I. R. The social network-network: size is predicted by brain structure and function in the amygdala and paralimbic regions. Soc. Cogn. Affect. Neurosci. 9 , 1962–1972 (2014).

Kanai, R., Bahrami, B., Roylance, R. & Rees, G. Online social network size is reflected in human brain structure. Proc. Biol. Sci. 279 , 1327–1334 (2012).

Pfeifer, J. H. & Blakemore, S. J. Adolescent social cognitive and affective neuroscience: past, present, and future. Soc. Cogn. Affect. Neurosci. 7 , 1–10 (2012).

Kowalski, R. M., Giumetti, G. W., Schroeder, A. N. & Lattanner, M. R. Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychol. Bull. 140 , 1073–1137 (2014).

Modecki, K. L., Minchin, J., Harbaugh, A. G., Guerra, N. G. & Runions, K. C. Bullying prevalence across contexts: a meta-analysis measuring cyber and traditional bullying. J. Adolesc. Health 55 , 602–611 (2014).

Tokunaga, R. S. Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Comput. Human. Behav. 26 , 277–287 (2010).

den Hamer, A. H. & Konijn, E. A. Adolescents’ media exposure may increase their cyberbullying behavior: a longitudinal study. J. Adolesc. Health 56 , 203–208 (2015).

Williams, K. D. & Jarvis, B. Cyberball: a program for use in research on interpersonal ostracism and acceptance. Behav. Res. Methods 38 , 174–180 (2006).

Wolf, W. et al. Ostracism online: a social media ostracism paradigm. Behav. Res. Method 47 , 361–373 (2014).

Cacioppo, S. et al. A quantitative meta-analysis of functional imaging studies of social rejection. Sci. Rep. 3 , 2027 (2013).

Will, G. J., van Lier, P. A., Crone, E. A. & Guroglu, B. Chronic childhood peer rejection is associated with heightened neural responses to social exclusion during adolescence. J. Abnorm. Child. Psychol. 44 , 43–55 (2015).

Article   PubMed Central   Google Scholar  

van Harmelen, A. L. et al. Childhood emotional maltreatment severity is associated with dorsal medial prefrontal cortex responsivity to social exclusion in young adults. PLoS ONE 9 , e85107 (2014).

Article   ADS   PubMed   PubMed Central   Google Scholar  

Masten, C. L., Telzer, E. H., Fuligni, A. J., Lieberman, M. D. & Eisenberger, N. I. Time spent with friends in adolescence relates to less neural sensitivity to later peer rejection. Soc. Cogn. Affect. Neurosci. 7 , 106–114 (2012).

Dalgleish, T. et al. Social pain and social gain in the adolescent brain: A common neural circuitry underlying both positive and negative social evaluation. Sci. Rep. 7 , 42010 (2017).

Article   ADS   CAS   PubMed   PubMed Central   Google Scholar  

Vijayakumar, N., Cheng, T. W. & Pfeifer, J. H. Neural correlates of social exclusion across ages: A coordinate-based meta-analysis of functional MRI studies. Neuroimage 153 , 359–368 (2017).

Masten, C. L. et al. Neural correlates of social exclusion during adolescence: understanding the distress of peer rejection. Soc. Cogn. Affect. Neurosci. 4 , 143–157 (2009).

Moor, B. G. et al. Social exclusion and punishment of excluders: neural correlates and developmental trajectories. Neuroimage 59 , 708–717 (2012).

Silk, J. S. et al. Increased neural response to peer rejection associated with adolescent depression and pubertal development. Soc. Cogn. Affect. Neurosci. 9 , 1798–1807 (2014).

Lieberman, M. D. & Eisenberger, N. I. The dorsal anterior cingulate cortex is selective for pain: Results from large-scale reverse inference. Proc. Natl Acad. Sci. USA 112 , 15250–15255 (2015).

Lieberman, M. D. & Eisenberger, N. I. Neuroscience. Pains and pleasures of social life. Science 323 , 890–891 (2009).

Guyer, A. E., McClure-Tone, E. B., Shiffrin, N. D., Pine, D. S. & Nelson, E. E. Probing the neural correlates of anticipated peer evaluation in adolescence. Child. Dev. 80 , 1000–1015 (2009).

Rodman, A. M., Powers, K. E. & Somerville, L. H. Development of self-protective biases in response to social evaluative feedback. Proc. Natl Acad. Sci. USA 114 , 13158–13163 (2017).

Achterberg, M., van Duijvenvoorde, A. C., Bakermans-Kranenburg, M. J. & Crone, E. A. Control your anger! the neural basis of aggression regulation in response to negative social feedback. Soc. Cogn. Affect. Neurosci. 11 , 712–720 (2016).

Achterberg, M. et al. The neural and behavioral correlates of social evaluation in childhood. Dev. Cogn. Neurosci. 24 , 107–117 (2017).

Silk, J. S. et al. Peer acceptance and rejection through the eyes of youth: pupillary, eyetracking and ecological data from the Chatroom Interact task. Soc. Cogn. Affect. Neurosci. 7 , 93–105 (2012).

Sherman, L. E., Payton, A. A., Hernandez, L. M., Greenfield, P. M. & Dapretto, M. The power of the like in adolescence: effects of peer influence on neural and behavioral responses to social media. Psychol. Sci. 27 , 1027–1035 (2016).

Burrow, A. L. & Rainone, N. How many likes did I get? purpose moderates links between positive social medial feedback and self-esteem. J. Exp. Soc. Psychol. 69 , 232–236 (2017).

Haber, S. N. & Knutson, B. The reward circuit: linking primate anatomy and human imaging. Neuropsychopharmacology 35 , 4–26 (2010).

Guroglu, B. et al. Why are friends special? Implementing a social interaction simulation task to probe the neural correlates of friendship. Neuroimage 39 , 903–910 (2008).

Gunther Moor, B., van Leijenhorst, L., Rombouts, S. A., Crone, E. A. & Van der Molen, M. W. Do you like me? Neural correlates of social evaluation and developmental trajectories. Soc. Neurosci. 5 , 461–482 (2010).

Guyer, A. E., Choate, V. R., Pine, D. S. & Nelson, E. E. Neural circuitry underlying affective response to peer feedback in adolescence. Soc. Cogn. Affect. Neurosci. 7 , 81–92 (2012).

Davey, C. G., Allen, N. B., Harrison, B. J., Dwyer, D. B. & Yucel, M. Being liked activates primary reward and midline self-related brain regions. Hum. Brain. Mapp. 31 , 660–668 (2010).

PubMed   Google Scholar  

Tan, P. Z. et al. Associations between maternal negative affect and adolescent’s neural response to peer evaluation. Dev. Cogn. Neurosci. 8 , 28–39 (2014).

Konijn, E. A. & Hoorn, J. F. in The International Encyclopedia of Media Effects (ed. Roessler, P., Hoffner, C. A. & Zoonen, L. v.) 1–15 (Wiley-Blackwell Publishers, Hoboken, NJ, 2017).

Silverman, M. H., Jedd, K. & Luciana, M. Neural networks involved in adolescent reward processing: An activation likelihood estimation meta-analysis of functional neuroimaging studies. Neuroimage 122 , 427–439 (2015).

Schreuders, L., Braams, B. R., Peper, J. S., Guroglu, B. & Crone, E. A. Contributions of reward sensitivity to ventral striatum activity across adolescence and adulthood. Child Dev. In press (2018).

Braams, B. R., van Duijvenvoorde, A. C., Peper, J. S. & Crone, E. A. Longitudinal changes in adolescent risk-taking: a comprehensive study of neural responses to rewards, pubertal development, and risk-taking behavior. J. Neurosci. 35 , 7226–7238 (2015).

Meshi, D., Morawetz, C. & Heekeren, H. R. Nucleus accumbens response to gains in reputation for the self relative to gains for others predicts social media use. Front. Hum. Neurosci. 7 , 439 (2013).

Sherman, L. E., Greenfield, P. M., Hernandez, L. M. & Dapretto, M. Peer Influence via instagram: effects on brain and behavior in adolescence and young adulthood. Child. Dev. 89 , 37–47 (2017).

Berns, G. S., Capra, C. M., Moore, S. & Noussair, C. Neural mechanisms of the influence of popularity on adolescent ratings of music. Neuroimage 49 , 2687–2696 (2010).

Will, G. J., Crone, E. A., van den Bos, W. & Guroglu, B. Acting on observed social exclusion: developmental perspectives on punishment of excluders and compensation of victims. Dev. Psychol. 49 , 2236–2244 (2013).

Knoll, L. J., Magis-Weinberg, L., Speekenbrink, M. & Blakemore, S. J. Social influence on risk perception during adolescence. Psychol. Sci. 26 , 583–592 (2015).

Rodgers, R., McLean, S. & Paxton, S. Longitudinal relationships among internalization of the media ideal, peer social comparison, and body dissatisfaction: Implications for the tripartite influence model. Dev. Psychol. 51 , 706–713 (2015).

Veldhuis, J., Konijn, E. A. & Seidell, J. C. Negotiated media effects. peer feedback modifies effects of media’s thin-body ideal on adolescent girls. Appetite 73 , 172–182 (2014).

Veldhuis, J., Konijn, E. A. & Seidell, J. C. Weight information labels on media models reduce body dissatisfaction in adolescent girls. J. Adolesc. Health 50 , 600–606 (2012).

Zaki, J., Schirmer, J. & Mitchell, J. P. Social influence modulates the neural computation of value. Psychol. Sci. 22 , 894–900 (2011).

Campbell-Meiklejohn, D. K., Bach, D. R., Roepstorff, A., Dolan, R. J. & Frith, C. D. How the opinion of others affects our valuation of objects. Curr. Biol. 20 , 1165–1170 (2010).

van der Meulen, M. et al. Brain activation upon ideal-body media exposure and peer feedback in late adolescent girls. Cogn. Affect. Behav. Neurosci. 17 , 712–723 (2017).

Blakemore, S. J. The social brain in adolescence. Nat. Rev. Neurosci. 9 , 267–277 (2008).

Van Hoorn, J., Van Dijk, E., Meuwese, R., Rieffe, C. & Crone, E. A. Peer influence on prosocial behavior in adolescence. J. Res. Adolesc. 26 , 90–100 (2016).

Van Hoorn, J., Van Dijk, E., Guroglu, B. & Crone, E. A. Neural correlates of prosocial peer influence on public goods game donations during adolescence. Soc. Cogn. Affect. Neurosci. 11 , 923–933 (2016).

Dahl, R. E. & Vanderschuren, L. J. The feeling of motivation in the developing brain. Dev. Cogn. Neurosci. 1 , 361–363 (2011).

Knowles, M. L. in The Oxford Handbook of Social Exclusion (ed. DeWall, C. N.) (Oxford University Press., Oxford/New York, 2013).

Nowland, R., Necka, E. A. & Cacioppo, J. T. Loneliness and social internet use: pathways to reconnection in a digital world? Perspect. Psychol. Sci. 13 , 70–87 (2017). 1745691617713052.

Konijn, E. A., Bijvank, M. N. & Bushman, B. J. I wish I were a warrior: the role of wishful identification in the effects of violent video games on aggression in adolescent boys. Dev. Psychol. 43 , 1038–1044 (2007).

Plaisier, X. S. & Konijn, E. A. Rejected by peers-attracted to antisocial media content: rejection-based anger impairs moral judgment among adolescents. Dev. Psychol. 49 , 1165–1173 (2013).

Casey, B. J. Beyond simple models of self-control to circuit-based accounts of adolescent behavior. Annu. Rev. Psychol. 66 , 295–319 (2015).

Will, G. J., Crone, E. A., van Lier, P. A. & Guroglu, B. Neural correlates of retaliatory and prosocial reactions to social exclusion: Associations with chronic peer rejection. Dev. Cogn. Neurosci. 19 , 288–297 (2016).

Zvyagintsev, M. et al. Violence-related content in video game may lead to functional connectivity changes in brain networks as revealed by fMRI-ICA in young men. Neuroscience 320 , 247–258 (2016).

Olsson, A. & Ochsner, K. N. The role of social cognition in emotion. Trends Cogn. Sci. 12 , 65–71 (2008).

Konijn, E. A., Walma van der Molen, J. H. & Van Nes, S. Emotions bias perceptions of realism in audiovisual media. Why we may take Fict. Real. Discourse Process. 46 , 309–340 (2009).

LeDoux, J. The emotional brain: past, present, future. Neurosci. Res. 68 , e1–e2 (2010).

Pfeifer, J. H. et al. Entering adolescence: resistance to peer influence, risky behavior, and neural changes in emotion reactivity. Neuron 69 , 1029–1036 (2011).

Rosen, M. L. et al. Salience network response to changes in emotional expressions of others is heightened during early adolescence: relevance for social functioning. Dev. Sci . https://doi.org/10.1111/desc.12571 (2017).

Guroglu, B., van den Bos, W., van Dijk, E., Rombouts, S. A. & Crone, E. A. Dissociable brain networks involved in development of fairness considerations: understanding intentionality behind unfairness. Neuroimage 57 , 634–641 (2011).

Crone, E. A. & Dahl, R. E. Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat. Rev. Neurosci. 13 , 636–650 (2012).

Constantinidis, C. & Klingberg, T. The neuroscience of working memory capacity and training. Nat. Rev. Neurosci. 17 , 438–449 (2016).

Weerdmeester, J., Cima, M., Granic, I., Hashemian, Y. & Gotsis, M. A feasibility study on the effectiveness of a full-body videogame intervention for decreasing attention deficit hyperactivity disorder symptoms. Games Health J. 5 , 258–269 (2016).

Schoneveld, E. A. et al. A neurofeedback video game (mindlight) to prevent anxiety in children: a randomized controlled trial. Comput. Human. Behav. 63 , 321–333 (2016).

van Duijvenvoorde, A. C., Peters, S., Braams, B. R. & Crone, E. A. What motivates adolescents? Neural responses to rewards and their influence on adolescents’ risk taking, learning, and cognitive control. Neurosci. Biobehav. Rev. 70 , 135–147 (2016).

Konijn, E. A., Veldhuis, J. & Plaisier, X. S. YouTube as a research tool: three approaches. Cyber. Behav. Soc. Netw. 16 , 695–701 (2013).

Sundar, S. S. Handbook of the Psychology of Communication Technology (Wiley-Blackwell., Hoboken, NJ:, 2015).

Book   Google Scholar  

Huang, C. Time Spent on social network sites and psychological well-being: a meta-analysis. Cyber. Behav. Soc. Netw. 20 , 346–354 (2017).

Baker, D. A. & Algorta, G. P. The relationship between online social networking and depression: a systematic review of quantitative studies. Cyber. Behav. Soc. Netw. 19 , 638–648 (2016).

Przybylski, A. K. & Weinstein, N. A large-scale test of the goldilocks hypothesis. Psychol. Sci. 28 , 204–215 (2017).

Wilmer, H. H. & Chein, J. M. Mobile technology habits: patterns of association among device usage, intertemporal preference, impulse control, and reward sensitivity. Psychon. Bull. Rev. 23 , 1607–1614 (2016).

Wilmer, H. H., Sherman, L. E. & Chein, J. M. Smartphones and Cognition: a review of research exploring the links between mobile technology habits and cognitive functioning. Front. Psychol. 8 , 605 (2017).

Reich, S. M., Subrahmanyam, K. & Espinoza, G. Friending, IMing, and hanging out face-to-face: overlap in adolescents’ online and offline social networks. Dev. Psychol. 48 , 356–368 (2012).

Lemola, S., Perkinson-Gloor, N., Brand, S., Dewald-Kaufmann, J. F. & Grob, A. Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age. J. Youth Adolesc. 44 , 405–418 (2015).

Meshi, D., Tamir, D. I. & Heekeren, H. R. The emerging neuroscience of social media. Trends Cogn. Sci. 19 , 771–782 (2015).

Chein, J., Albert, D., O’Brien, L., Uckert, K. & Steinberg, L. Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry. Dev. Sci. 14 , F1–F10 (2011).

Van Hoorn, J., Crone, E. A. & Van Leijenhorst, L. Hanging out with the right crowd: peer influence on risk-taking behavior in adolescence. J. Res Adolesc. 27 , 189–200 (2017).

Duell, N. et al. Interaction of reward seeking and self-regulation in the prediction of risk taking: a cross-national test of the dual systems model. Dev. Psychol. 52 , 1593–1605 (2016).

Sisk, C. L. & Foster, D. L. The neural basis of puberty and adolescence. Nat. Neurosci. 7 , 1040–1047 (2004).

Gladwin, T. E., Figner, B., Crone, E. A. & Wiers, R. W. Addiction, adolescence, and the integration of control and motivation. Dev. Cogn. Neurosci. 1 , 364–376 (2011).

van Oosten, J. M. & Vandenbosch, L. Sexy online self-presentation on social network sites and the willingness to engage in sexting: a comparison of gender and age. J. Adolesc. 54 , 42–50 (2017).

Mills, K. L. et al. Structural brain development between childhood and adulthood: convergence across four longitudinal samples. Neuroimage 141 , 273–281 (2016).

Download references

Acknowledgements

We thank the reviewers for their detailed and insightful comments on the manuscript, and Lara Wierenga for providing helpful comments on previous versions of the manuscript. This work was supported by The Netherlands Organization for Scientific Research (NWO-VICI 453-14-001 E.A.C.) and by an innovative ideas grant of the European Research Council (ERC CoG PROSOCIAL 681632 to E.A.C.). Both authors were supported by the Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS: September 2013–September 2014).

Author information

Authors and affiliations.

Department of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, 2333AK, Leiden, Netherlands

Eveline A. Crone

Department of Communication Science, Media Psychology, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands

Elly A. Konijn

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Eveline A. Crone .

Ethics declarations

Competing interests.

The authors declare no competing financial interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ .

Reprints and permissions

About this article

Cite this article.

Crone, E.A., Konijn, E.A. Media use and brain development during adolescence. Nat Commun 9 , 588 (2018). https://doi.org/10.1038/s41467-018-03126-x

Download citation

Received : 10 October 2017

Accepted : 22 January 2018

Published : 21 February 2018

DOI : https://doi.org/10.1038/s41467-018-03126-x

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

This article is cited by

Digitale mediennutzung und psychische gesundheit bei adoleszenten – eine narrative übersicht.

  • Kerstin Paschke
  • Rainer Thomasius

Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (2024)

Social Media and Youth Mental Health

  • Paul E. Weigle
  • Reem M. A. Shafi

Current Psychiatry Reports (2024)

The associations between screen time and mental health in adolescents: a systematic review

  • Renata Maria Silva Santos
  • Camila Guimarães Mendes
  • Marco Aurélio Romano-Silva

BMC Psychology (2023)

How social media affects teen mental health: a missing link

  • Sarah-Jayne Blakemore

Nature (2023)

Quantum affective processes for multidimensional decision-making

  • Johnny K. W. Ho
  • Johan F. Hoorn

Scientific Reports (2022)

By submitting a comment you agree to abide by our Terms and Community Guidelines . If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Quick links

  • Explore articles by subject
  • Guide to authors
  • Editorial policies

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

research media

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Int J Environ Res Public Health
  • PMC10218532

Logo of ijerph

Gender and Media Representations: A Review of the Literature on Gender Stereotypes, Objectification and Sexualization

Media representations play an important role in producing sociocultural pressures. Despite social and legal progress in civil rights, restrictive gender-based representations appear to be still very pervasive in some contexts. The article explores scientific research on the relationship between media representations and gender stereotypes, objectification and sexualization, focusing on their presence in the cultural context. Results show how stereotyping, objectifying and sexualizing representations appear to be still very common across a number of contexts. Exposure to stereotyping representations appears to strengthen beliefs in gender stereotypes and endorsement of gender role norms, as well as fostering sexism, harassment and violence in men and stifling career-related ambitions in women. Exposure to objectifying and sexualizing representations appears to be associated with the internalization of cultural ideals of appearance, endorsement of sexist attitudes and tolerance of abuse and body shame. In turn, factors associated with exposure to these representations have been linked to detrimental effects on physical and psychological well-being, such as eating disorder symptomatology, increased body surveillance and poorer body image quality of life. However, specificities in the pathways from exposure to detrimental effects on well-being are involved for certain populations that warrant further research.

1. Introduction

As a social category, gender is one of the earliest and most prominent ways people may learn to identify themselves and their peers, the use of gender-based labels becoming apparent in infants as early as 17 months into their life [ 1 ]. Similarly, the development of gender-based heuristics, inferences and rudimentary stereotypes becomes apparent as early as age three [ 2 , 3 ]. Approximately at this age, the development of a person’s gender identity begins [ 4 ]—that is, the process through which a person tends to identify as a man, as a woman or as a vast spectrum of other possibilities (i.e., gender non-conforming, agender, genderfluid, etc.). These processes continue steadily throughout individuals’ lives as they receive and elaborate information about women and men and what it means to belong to either category, drawing from direct and indirect observations, social contact, personal elaborations and cultural representations [ 5 , 6 ]. As a result, social and mental representations of gender are extremely widespread, especially as a strictly binary construct, and can be argued to be ubiquitous in individual and social contexts.

Among the many sources of influence on gender representations, media occupies an important space and its relevance can be assessed across many different phenomena [ 7 , 8 , 9 , 10 , 11 ]. The ubiquity of media, the chronicity of individuals’ exposure to it and its role in shaping beliefs, attitudes and expectations have made it the subject of scientific attention. In fact, several theories have attempted to explore the mechanisms and psychological processes in which media plays a role, including identity development [ 12 , 13 , 14 ], scripts and schemas [ 15 ], cultivation processes [ 16 , 17 , 18 ] and socialization processes [ 5 , 6 ].

The public interest in the topic of gender has seen a surge in the last 10 years, in part due to social and political movements pushing for gender equality across a number of aspects, including how gender is portrayed in media representations. In the academic field as well, publications mentioning gender in their title, abstract or keywords have more than doubled from 2012 to 2022 [ 19 ], while publications mentioning gender in media representations have registered an even more dramatic increase, tripling in number [ 20 ]. Additionally, the media landscape has had a significant shift in the last decade, with the surge in popularity and subsequent addition of social media websites and apps to most people’s mediatic engagement [ 21 ].

The importance of media use in gender-related aspects, such as beliefs, attitudes, or roles, has been extensively documented. As reported in a recent review of the literature [ 22 ], several meta-analyses [ 17 , 23 , 24 ] showed support for the effects of media use on gender beliefs, finding small but consistent effect sizes. These effects appear to have remained present over the decades [ 25 ].

Particular attention has been given to stereotypical, objectifying and sexualizing representations, as portrayals that paint a restrictive picture of the complexity of human psychology, also producing sociocultural pressures to conform to gender roles and body types.

Gender stereotypes can be defined as an extremely simplified concept of attitudes and behaviors considered normal and appropriate for men and women in a specific culture [ 26 ]. They usually span several different areas of people’s characteristics, such as physical appearance, personality traits, behaviors, social roles and occupations. Stereotypical beliefs about gender may be divided into descriptive (how one perceives a person of a certain gender to be; [ 27 ]), prescriptive (how one perceives a person of a certain gender should be and behave; [ 28 , 29 ]) or proscriptive (how one perceives a person of a certain gender should not be and behave; [ 28 , 29 ]). Their content varies on the individual’s culture of reference [ 30 ], but recurring themes have been observed in western culture, such as stereotypes revolving around communion, agency and competence [ 31 ]. Women have stereotypically been associated with traits revolving around communion (e.g., supportiveness, compassion, expression, warmth), while men have been more stereotypically associated with agency (e.g., ambition, assertiveness, competitiveness, action) or competence (e.g., skill, intelligence). Both men and women may experience social and economic penalties (backlash) if they appear to violate these stereotypes [ 29 , 32 , 33 ].

Objectification can be defined as the viewing or treatment of people as objects. Discussing ways in which people may be objectified, Nussbaum first explored seven dimensions: instrumentality (a tool to be employed for one’s purposes); denial of autonomy (lacking self-determination, or autonomy); inertness (lacking in agency or activity); fungibility (interchangeable with others of the same type); violability (with boundaries lacking integrity and permissible to break into); ownership (possible to own or trade); denial of subjectivity (the person’s feelings or experiences are seen as something that does not need to be considered) [ 34 ].

In its initial definition by Fredrickson and Roberts [ 35 ], objectification theory had been offered as a framework to understand how the pervasive sexual objectification of women’s bodies in the sociocultural context influenced their experiences and posed risks to their mental health—a phenomenon that was believed to have uniquely female connotations. In their model, the authors theorized that a cultural climate of sexual objectification would lead to the internalization of objectification (viewing oneself as a sexual and subordinate object), which would in turn lead to psychological consequences (e.g., body shame, anxiety) and mental health risks (e.g., eating disorders, depression). Due to the pervasiveness of the cultural climate, objectification may be difficult to detect or avoid, and objectification experiences may be perceived as normative.

Sexual objectification, in which a person is reduced to a sexual instrument, can be construed to be a subtype of objectification and, in turn, is often defined as one of the types of sexualization [ 36 ]. As previously discussed by Ward [ 37 ], it should be made clear that the mere presence of sexual content, which may be represented in a positive and healthy way, should not be conflated with sexualized or objectifying representations.

The American Psychological Association’s 2007 report defines sexualization as a series of conditions that stand apart from healthy sexuality, such as when a person’s value is perceived to come mainly from sexual appeal or behavior, when physical attractiveness is equated to sexual attractiveness, when a person is sexually objectified or when sexuality is inappropriately imposed on a person [ 36 ]. Sexualization may involve several different contexts, such as personal, interpersonal, and cultural. Self-sexualization involves treating oneself as a sexual object [ 35 ]. Interpersonal contributions involve being treated as sexual objects by others, such as family or peers [ 38 , 39 ]. Finally, contributions by cultural norms, expectations and values play a part as well, including those spread by media representations [ 36 ]. After this initial definition, sexualization as a term has also been used by some authors (e.g., Zurbriggen & Roberts [ 40 ]) to refer to sexual objectification specifically, while others (e.g., Bigler and colleagues [ 41 ]) stand by the APA report’s broader meaning. In this section, we will explore scientific literature adopting the latter.

These portrayals have been hypothesized to lead to negative effects on people’s well-being on a mental and physical level, as well as bearing partial responsibility for several social issues, such as sexism, gender discrimination and harassment. However, the pathways that lead from an individual’s relationship with media to these detrimental effects can be complex. Furthermore, they seem to involve specificities for men and women, as well as for different sexual orientations. A wealth of publications has been produced on these themes and, to the authors’ knowledge, no recent review has attempted to synthesize their findings.

The present article aims to summarize the state of the art of research on stereotyping, sexualization and objectification in gender and media representations. A focus will be placed on the definitions of these concepts, the media where they occur, and verifying whether any changes over time are detectable or any specificities are present. The possible effects of these representations on people’s well-being will be explored as well.

A search of the literature was conducted on scientific search engines (APA PsycArticles, CINAHL Complete, Education Source, Family Studies Abstracts, Gender Studies Database, MEDLINE, Mental Measurements Yearbook, Sociology Source Ultimate, Violence & Abuse Abstracts, PUBMED, Scopus, Web of Science) to locate the most relevant contributions on the topic of media and gender representation, with a particular focus on stereotypes, objectification and sexualization, their presence in the media and their effects on well-being. Keywords were used to search for literature on the intersection of the main topics: media representation (e.g., media OR representation* OR portrayal*), gender (e.g., gender OR sex OR wom* OR m*n) and stereotypes, objectification and sexualization (e.g., stereotyp*, objectif*, sexualiz*). In some cases, additional keywords were used for the screening of studies on specific media (e.g., television, news, social media). When appropriate, further restrictions were used to screen for studies on effects or consequences (e.g., effect* OR impact* OR consequence* OR influence* OR outcome*). Inclusion criteria were the following: (a) academic articles (b) pertaining to the field of media representations (c) pertaining to gender stereotypes, objectification or sexualization. A dataset of 195 selected relevant papers was created. Thematic analysis was conducted following the guidelines developed by Braun and Clarke [ 42 ], in order to outline patterns of meaning across the reviewed studies. The process was organized into six phases: (1) familiarization with the data; (2) coding; (3) searching for themes; (4) reviewing themes; (5) defining and naming themes; and (6) writing up. After removing duplicates and excluding papers that did not meet the inclusion criteria, a total of 87 articles were included in the results of this review. The findings were discussed among researchers (LR, FS, MNP and TT) until unanimous consensus was reached.

2.1. Stereotypical Portrayals

Gender stereotypes appear to be flexible and responsive to changes in the social environment: consensual beliefs about men’s and women’s attributes have evolved throughout the decades, reflecting changes in women’s participation in the labor force and higher education [ 31 , 43 ]. Perceptions of gender equality in competence and intelligence have sharply risen, and stereotypical perceptions of women show significant changes: perceptions of women’s competence and intelligence have surpassed those relative to men, while the communion aspect appears to have shifted toward being even more polarized on being typical of women. Other aspects, such as perceptions of agency being more typical of men, have remained stable [ 31 ].

Despite these changes, gender representation in the media appears to be frequently skewed toward men’s representation and prominently features gender stereotypes. On a global scale, news coverage appears to mostly feature men, especially when considering representation as expert voices, where women are still underrepresented (24%) despite a rise in coverage in the last 5 years [ 44 ]. Underrepresentation has also been reported in many regional and national contexts, but exact proportions vary significantly in the local context. Male representation has been reported to be greater in several studies, with male characters significantly outnumbering female characters [ 45 ], doing so in male-led and mixed-led shows but not in female-led shows [ 46 ] in children’s television programming—a key source of influence on gender representations. Similar results have been found regarding sports news, whose coverage overwhelmingly focuses on men athletes [ 47 , 48 ] and where women are seldom represented.

Several analyses of television programs have also shown how representations of men and women are very often consistent with gender stereotypes. Girls were often portrayed as focusing more on their appearance [ 45 ], as well as being judged for their appearance [ 49 ]. The same focus on aesthetics was found in sports news coverage, which was starkly different across genders, and tended to focus on women athletes’ appearance, featuring overly simplified descriptions (vs. technical language on coverage of men athletes) [ 48 ]. In addition, coverage of women athletes was more likely in sports perceived to be more feminine or gender-appropriate [ 47 , 48 , 50 ]. Similarly, women in videogames appear to be both underrepresented and less likely to be featured as playable characters, as well as being frequently stereotyped, appearing in the role of someone in need of rescuing, as love interests, or cute and innocent characters [ 51 ]. In advertising as well, gender stereotypes have often been used as a staple technique for creating relatability, but their use may lead to negative cross-gender effects in product marketing [ 52 ] while also possibly furthering social issues. Hust and colleagues found that in alcohol advertisements, belief in gender stereotypes was the most consistent predictor of intentions to sexually coerce, showing significant interaction effects with exposure to highly objectifying portrayals [ 53 ]. Representation in advertising prominently features gender stereotypes, such as depicting men in professional roles more often, while depicting women in non-working, recreational roles, especially in countries that show high gender inequality [ 54 ]. A recent analysis of print ads [ 55 ] confirmed that some stereotypes are still prominent and, in some cases, have shown a resurgence, such as portraying a woman as the queen of the home; the study also found representations of women in positions of empowerment are, however, showing a relative increase in frequency. Public support, combined with market logic, appears to be successfully pushing more progressive portrayals in this field [ 56 ].

Both skewed representation and the presence of stereotypes have been found to lead to several negative effects. Gender-unequal representation has been found to stifle political [ 57 ] and career [ 58 ] ambition, as well as foster organizational discrimination [ 59 ]. Heavy media use may further the belief in gender stereotypes and has been found to be linked to a stronger endorsement of traditional gender roles and norms [ 60 ], which in turn may be linked to a vast number of detrimental health effects. In women, adherence and internalization of traditional gender roles have been linked to greater symptoms of depression and anxiety, a higher likelihood of developing eating disorders, and lower self-esteem and self-efficacy [ 36 , 61 , 62 , 63 ]. In men as well, adherence to traditional masculine norms has been linked to negative mental health outcomes such as depression, psychological distress and substance abuse [ 64 ], while also increasing the perpetration of risky behaviors [ 65 , 66 ] and intimate partner violence [ 65 , 67 ].

2.2. Objectifying Portrayals

Non-sexual objectifying representations appear to have been studied relatively little. They have been found to be common in advertising, where women are often depicted as purely aesthetic models, motionless and decorative [ 68 ]. They may also include using a woman’s body as a supporting object for the advertised product, as a decorative object, as an ornament to draw attention to the ad, or as a prize to be won and associated with the consumption of the advertised product [ 55 ].

The vast majority of the literature has focused on the sexual objectification of women. This type of representation has been reported to be very common in a number of contexts and across different media [ 69 ], and several studies (see Calogero and colleagues’ or Roberts and colleagues’ review [ 69 , 70 ]) have found support for the original model’s pathway [ 35 ]. Following experimental models expanded on the original (e.g., Frederick and colleagues or Roberts and colleagues [ 69 , 71 ]), highlighting the role of factors such as the internalization of lean or muscular ideals of appearance, finding evidence for negative effects on well-being and mental health through the increase in self-objectification and the internalization of cultural ideals of appearance [ 71 , 72 ].

Sexual objectification also appears to be consistently linked to sexism. For both women and men, the perpetration of sexual objectification was significantly associated with hostile and benevolent sexism, as well as the enjoyment of sexualization [ 73 ]. Enjoyment of sexualization, in turn, has been found to be positively associated with hostile sexism in both men and women, positively associated with benevolent sexism in women and negatively in men [ 74 ].

Exposure to objectifying media in men has been found to increase the tendency to engage in sexual coercion and harassment, as well as increasing conformity to gender role norms [ 75 ]. Consistently with the finding that perpetration of objectification may be associated with a greater men’s proclivity for rape and sexual aggression [ 76 ], a study conducted by Hust and colleagues found that exposure to objectifying portrayals of women in alcohol advertising was also a moderator in the relationship between belief in gender stereotypes and intentions to sexually coerce. Specifically, participants who had a stronger belief in gender stereotypes reported stronger intentions to sexually coerce when exposed to slightly objectifying images of women. Highly objectifying images did not yield the same increase—a result interpreted by the authors to mean that highly objectified women were perceived as sexually available and as such less likely to need coercion, while slightly objectified women could be perceived as more likely to need coercion [ 53 ].

Research on objectification has primarily focused on women, in part due to numerous studies suggesting that women are more subject to sexual objectification [ 73 , 77 , 78 , 79 , 80 ], as well as suffering the consequences of sexual objectification more often [ 81 ]. However, sexually objectifying portrayals seem to have a role in producing negative effects on men as well, although with partially different pathways. In men, findings about media appearance pressures on body image appear to be mixed. Previous meta-analyses found either a small average effect [ 82 ] or no significant effect [ 72 ]. A recent study found them to be significantly associated with higher body surveillance, poorer body image quality of life and lower satisfaction with appearance [ 71 ]. Another study, however, found differing relationships regarding sexual objectification: an association was found between experiences of sexual objectification and internalization of cultural standards of appearance, body shame and drive for muscularity, but was not found between experiences of sexual objectification and self-objectification or body surveillance [ 83 ]: in the same study, gender role conflict [ 84 ] was positively associated to the internalization of sociocultural standards of appearance, self-objectification, body shame and drive for muscularity, suggesting the possibility that different pathways may be involved in producing negative effects on men. Men with body-image concerns experiencing gender role conflict may also be less likely to engage in help-seeking behaviors [ 85 , 86 ]. This is possibly due to restrictive emotionality associated with the male gender role leading to more negative attitudes toward help-seeking, as found in a recent study by Nagai, [ 87 ], although this study finds no association with help-seeking behavior, conflicting with previous ones, and more research is needed.

Finally, specificities related to sexual orientation regarding media and objectification appear to be present. A set of recent studies by Frederick and colleagues found that gay men, lesbian women and bisexual people share with heterosexual people many of the pathways that lead from sociocultural pressures to internalization of thin/muscular ideals, higher body surveillance and a lower body image quality of life [ 71 , 88 ], leading the authors to conclude that these factors’ influence applies regardless of sexual orientation. However, their relationship with media and objectification may vary. Gay and bisexual men may face objectification in social media and dating apps rather than in mainstream media and may experience more objectification than heterosexual men [ 89 ]. In Frederick and colleagues’ studies, gay men reported greater media pressures, body surveillance, thin-ideal internalization, and self-objectification compared to heterosexual men; moreover, bisexual men appeared to be more susceptible to ideal internalization, displaying stronger paths from media appearance pressures to muscular-ideal internalization compared to heterosexual men; lesbian women, instead, demonstrated weaker relationships between media pressures and body image outcomes [ 71 , 88 ]. Consistently with previous studies suggesting a heightened susceptibility to social pressures [ 90 ], bisexual women appeared to be more susceptible to media pressures relative to other groups [ 88 ]. Another recent study of lesbian and bisexual women supported previous evidence for the pathway from the internalization of cultural appearance standards to body surveillance, body shame and eating disorder symptoms; however, it found no significant connection between experiences of objectification and eating disorder symptoms [ 91 ].

2.3. Sexualized Portrayals

Several studies have found sexualizing media representations to be commonplace across a number of different media contents and across different target demographics (i.e., children, adolescents or adults) and genres. Reports of common sexualized representations of women are found in contexts such as television programs [ 92 ], movies [ 93 , 94 , 95 , 96 ], music videos [ 97 , 98 ], advertising [ 54 , 55 ], videogames [ 51 , 99 , 100 ], or magazines [ 101 ].

Exposure to sexualized media has been theorized to be an exogenous risk factor in the internalization of sexualized beliefs about women [ 41 ], as well as one of the pathways to the internalization of cultural appearance ideals [ 102 ]. Daily exposition to sexualized media content has been consistently linked to a number of negative effects. Specifically, it has been found to lead to higher levels of body dissatisfaction and distorted attitudes about eating through the internalization of cultural body ideals (e.g., lean or muscular) in both men and women [ 71 ]. It has also been associated with a higher chance of supporting sexist beliefs in boys [ 103 ], and of tolerance toward sexual violence in men [ 104 ]. Furthermore, exposure to sexualized images has been linked to a higher tolerance of sexual harassment and rape myth acceptance [ 76 ]. Exposure to reality TV programs consistently predicted self-sexualization for both women and men, while music videos did so for men only [ 103 ]. Internalized sexualization, in turn, has been linked to a stronger endorsement of sexist attitudes and acceptance of rape myths [ 105 ], while also being linked to higher levels of body surveillance and body shame in girls [ 106 ]. Internalization of media standards of appearance has been linked to body surveillance in both men and women, as well as body surveillance of the partner in men [ 107 ].

As a medium, videogames have been studied relatively little and have produced less definite results. This medium can offer the unique dynamic of embodiment in a virtual avatar, which has been hypothesized to be able to lead to a shift in self-perception (the “Proteus effect”, as formulated by Yee & Bailenson, [ 108 ]). While some studies have partially confirmed this effect, showing that exposure to sexualized videogame representations can increase self-objectification [ 109 , 110 , 111 ], others [ 112 ] have not found the same relationship. Furthermore, while a study has found an association between sexualized representations in videogames, tolerance of sexual abuse of women and rape myth acceptance [ 113 ], and in another, it was linked to a decreased real-life belief in women’s competence [ 114 ], a recent meta-analysis [ 115 ] found no effect of the presence of sexualized content on well-being, sexism or misogyny.

Research on social media has also shown some specificities. Social media offers the unique dynamic of being able to post and disseminate one’s own content and almost always includes built-in mechanisms for user-generated feedback (e.g., likes), as well as often being populated by one’s peers, friends and family rather than strangers. Sites focusing on image- or video-based content (e.g., Instagram, TikTok) may be more prone to eliciting social comparison and fostering the internalization of cultural appearance ideals, resulting in more associations to negative body image when compared to others that have the same capabilities but offer text-based content as well (e.g., Facebook) [ 116 ]. Social media appears to foster social comparison, which may increase appearance-based concerns [ 117 ]. Consistently with previous research, exposure to sexualized beauty ideals on social media appeared to be associated with lower body satisfaction; exposure to more diverse standards of appearance, instead, was associated with increased body satisfaction and positive mood, regardless of image sexualization [ 116 , 118 ].

3. Discussion

3.1. critical discussion of evidence.

The reviewed evidence (summarized in Table 1 ) points to the wide-ranging harmful effects of stereotyping, objectifying and sexualizing media portrayals, which are reported to be still both common and pervasive. The links to possible harms have also been well documented, with a few exceptions.

Summary of findings.

These representations, especially but not exclusively pertaining to women, have been under social scrutiny following women’s rights movements and activism [ 119 ] and can be perceived to be politically incorrect and undesirable, bringing an aspect of social desirability into the frame. Positive attitudes toward gender equality also appear to be at an all-time high across the western world [ 120 , 121 ], a change that has doubtlessly contributed to socio-cultural pressure to reduce harmful representations. Some media contexts (e.g., advertising and television) seem to have begun reflecting this change regarding stereotypes, attempting to either avoid harmful representations or push more progressive portrayals. However, these significant changes in stereotypes (e.g., regarding competence) have not necessarily been reflected in women’s lives, such as their participation in the labor force, leadership or decision-making [ 31 , 122 , 123 ]. Objectifying or sexualizing representations do not seem to be drastically reduced in prevalence. Certainly, many influences other than media representations are in play in this regard, but their effect on well-being has been found to be pervasive and consistent. Despite widespread positive attitudes toward gender equality, the persistence of stereotypical, objectifying and sexualizing representations may hint at the continued existence of an entrenched sexist culture which can translate into biases, discrimination and harm.

Despite some conflicting findings, the literature also hints at the existence of differences in how media pressures appear to affect men and women, as well as gay, lesbian and bisexual people. These may point to the possibility of some factors (e.g., objectification) playing a different role across different people in the examined pathways, an aspect that warrants caution when considering possible interventions and clinical implications. In some cases, the same relationship between exposure to media and well-being may exist, but it may follow different pathways from distal risk factors to proximal risk factors, as in the case of gender role conflict for men or body shame for lesbian and bisexual women. However, more research is needed to explore these recent findings.

Different media also appear to feature specificities for which more research is needed, such as videogames and social media. The more interactive experiences offered by these media may play an important role in determining their effects, and the type of social media needs to be taken into consideration as well (image- or video-based vs. text-based). Moreover, the experiences of exposure may not necessarily be homogenous, due to the presence of algorithms that determine what content is being shown in the case of social media, and due to the possibility of player interaction and avatar embodiment in the case of videogames.

Past findings [ 37 , 69 ] about links with other social issues such as sexism, harassment and violence appear to still be relevant [ 67 , 73 , 103 , 105 ]. The increases in both tolerance and prevalence of sexist and abusive attitudes resulting from exposure to problematic media representations impact the cultural climate in which these phenomena take place. Consequently, victims of discrimination and abuse living in a cultural climate more tolerant of sexist and abusive attitudes may experience lower social support, have a decreased chance of help-seeking and adopt restrictive definitions for what counts as discrimination and abuse, indirectly furthering gender inequalities.

Exploring ways of reducing risks to health, several authors [ 22 , 41 , 75 ] have discussed media literacy interventions—that is, interventions focused on teaching critical engagement with media—as a possible way of reducing the negative effects of problematic media portrayals. As reported in McLean and colleagues’ systematic review [ 124 ], these interventions have been previously shown to be effective at increasing media literacy, while also improving body-related outcomes such as body satisfaction in boys [ 125 ], internalization of the thinness ideal in girls [ 125 ], body size acceptance in girls [ 126 ] and drive for thinness in girls and boys [ 127 ]. More recently, they were also shown to be effective at reducing stereotypical gender role attitudes [ 128 ], as well as fostering unfavorable attitudes toward stereotypical portrayals and lack of realism [ 129 ]. Development and promotion of these interventions should be considered when attempting to reduce negative media-related influences on body image. It should be noted, however, that McLean and colleagues’ review found no effect of media literacy interventions on eating disorder symptomatology [ 124 ], which warrants more careful interventions.

Furthermore, both internal (e.g., new entrants’ attitudes in interpersonal or organizational contexts) and external (e.g., pressure from public opinion) sociocultural pressures appear to have a strong influence in reducing harmful representations [ 55 , 56 ]. Critically examining these representations when they appear, as well as voicing concerns toward examples of possibly harmful representations, may promote more healthy representations in media. As documented by some studies, the promotion of diverse body representations in media may also be effective in reducing negative effects [ 70 , 118 ].

3.2. Limitations

The current review synthesizes the latest evidence on stereotyping, objectifying and sexualizing media representations. However, limitations in its methodology are present and should be taken into consideration. It is not a systematic review and may not be construed to be a complete investigation of all the available evidence. Only articles written in the English language have been considered, which may have excluded potentially interesting findings written in other languages. Furthermore, it is not a meta-analysis, and as such cannot be used to draw statistical conclusions about the surveyed phenomena.

3.3. Future Directions

While this perception is limited by the non-systematic approach of the review, to what we know, very few studies appear to be available on the relationship between media representation and non-sexual objectification, which may provide interesting directions to explore in relation to autonomy, violability or subjectivity, as was attempted in the context of work and organizations [ 130 ].

More cross-cultural studies (e.g., Tartaglia & Rollero [ 54 ]) would also prove useful in exploring differences between cultural contexts, as well as the weight of different sociocultural factors in the relationship between media representation and gender.

More studies focusing on relatively new media (e.g., social media, videogames) would possibly help clear up some of the identified discrepancies and explore new directions for the field that take advantage of their interactivity. This is particularly true for niche but growing media such as virtual reality, in which the perception of embodiment in an avatar with different physical features than one’s own could prove to be important in sexualization and objectification. Only preliminary evidence [ 131 ] has been produced on the topic.

Studies to further explore the relationship between media representations, gender and sexual orientation would also be beneficial. As already highlighted by Frederick and colleagues [ 132 ], gay, lesbian and bisexual people may deal with a significantly different set of appearance norms and expectations [ 133 ], and face minority-related stresses [ 134 ] that can increase susceptibility to poorer body image and disordered eating [ 135 , 136 ]. Additionally, none of the reviewed studies had a particular focus on trans people, who may have different experiences relating to media and body image, as suggested by the differences in pathways found in a recent study [ 137 ]. Sexual orientation and gender identity should be kept into consideration when investigating these relationships, as their specificities may shed light on the different ways societal expectations influence the well-being of sexual minorities.

The examined literature on the topic also appears to feature specificities that need to be taken into account. As previously reported by Ward [ 37 ], the vast majority of the studies continue to be conducted in the United States, often on undergraduates, which limits the generalizability of the results to the global population. Given the abundance and complexity of the constructs, more studies examining the pathways from media exposure to well-being using methodologies such as path analysis and structural equation modeling may help clarify some of the discrepancies found in the literature about the same relationships.

Finally, as previously reported by many authors [ 37 , 69 , 138 ], sexualization, self-sexualization, objectification and self-objectification are sometimes either treated as synonymous or used with different definitions and criteria, which may add a layer of misdirection to studies on the subject. Given the divergences in the use of terminology, clearly stating one’s working definition of sexualization or objectification would possibly benefit academic clarity on the subject.

4. Conclusions

Consistent empirical evidence highlights the importance of media representations as a key part of sociocultural influences that may have consequences on well-being. Despite some notable progress, harmful representations with well-researched links to detrimental effects are still common across a number of different media. Exposure to stereotyping, objectifying and sexualized representations appears to consistently be linked to negative consequences on physical and mental health, as well as fostering sexism, violence and gender inequity. On a clinical level, interventions dealing with body image and body satisfaction should keep their influence into account. The promotion of institutional and organizational interventions, as well as policies aimed at reducing their influence, could also prove to be a protective factor against physical and mental health risks.

Funding Statement

This research received no external funding.

Author Contributions

Conceptualization, F.S. and L.R.; methodology, T.T. and M.N.P.; writing—original draft preparation, F.S.; writing—review and editing, T.T. and M.N.P.; supervision, L.R. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Since 1987, the Media Research Center has worked successfully to expose and counter the leftist bias of the national news media, where now only a historically low 32% of Americans say they trust media to be fair and impartial. Alongside this effort, MRC leads the conservative movement in combatting the left’s efforts to manipulate the electoral process, silence opposing voices online, and undermine American values.

MRC NewsBusters , the News Analysis Division’s fast paced and popular blog, is the leader in documenting, exposing, and neutralizing liberal media bias. MRC NewsBusters also houses the following divisions:

MRCTV is the multimedia division of MRC featuring original content and aggregated videos of the news, people, and events conservatives care about. Additionally, MRCTV has merged with CNSNews.

MRC Free Speech America uncovers and fights the systematic campaign of the Big Tech companies, like Google and Facebook, to censor constitutionally protected speech. It also maintains the one-of-a-kind CensorTrack database.

MRC Highlights

2024 MRC Post-Election Caribbean Cruise Registration Now Open

According to Media Research Center, 89% of the media’s coverage of our administration has been negative and purposely negative.

Donald J. Trump

I think the issue is, more and more people, partially because of work that you’ve (MRC) done and others on the conservative side to expose this, they don’t instinctively trust any of these media narratives anymore.

Ron DeSantis

Brent Bozell and the MRC provide a most precious commodity — a quest for the truth. I can’t possibly expose every example of bias and error that emanates from the national mainstream media, but Bozell and his group come as close as anyone can. MRC is a vital national interest.

Rush Limbaugh

Teresa Rowland

research media

Media Center 4/17/2024 2:00:00 PM Greg Johnson

3 research teams named Innovations in Research and Practice Grant recipients

$100,000 awarded to produce studies around student-athlete mental health and social media use.

During the 2024-25 academic year, three research teams will receive a total of $100,000 to conduct projects designed to enhance student-athletes' psychosocial well-being and mental health.

This is the 10th year of the NCAA Innovations in Research and Practice Grant Program. The panel that reviewed the proposals was composed of current student-athletes, academics, athletics administrators, an athletic trainer, a coach and a mental health clinician. The reviewers felt confident the funded pilot programs will lead to programs that other schools can adopt for use on their campuses or adapt to fit their own needs. 

"It is encouraging to continue to see such a high level of interest in this grant program," said Eric Laudano, the panel chair and a senior associate athletics director at Saint Joseph's. "This year, over 140 proposals were submitted, and with so many strong projects and compelling collaborations, it was challenging for the panel to identify the finalists and select the three recipients. We are confident that these projects will benefit the student-athletes on the receiving campuses in the coming year. Further, we believe the membership will have much to gain as these grant teams share their findings and make their resources widely available in 2025."

These three teams will make their findings available to the membership during the 2024-25 academic year:

Share, like and subscribe: The impact of social media use on student-athletes' identity and sense of belonging on and off the team.

Rebecca Bertuccio, Ph.D., NCSP, LP (project director); Brittany Rhoden, MSEd, MSc; and Grace Landrigan, MPH.

Online resilience: Empowering student-athletes in navigating social media feedback with intervention techniques.

Nataliya Bredikhina, Ph.D. (project director), and Bomin Paek, Ph.D.

The locker room files: Developing data-driven digital well-being strategies to mitigate social media effects on mental health, well-being, and team relationships.

Claire Wanzer, M.A. (project director), and Amy Bleakley, Ph.D., MPH.

Of note, the Wanzer and Bleakley project will involve collaboration with three Division I athletics departments (Binghamton University, Delaware and Niagara) and two Division II athletics departments (Daemen and West Chester).

Members of the external review panel that selected the grant recipients:

  • Panel chair Eric Laudano, senior associate director of athletics for high performance, Saint Joseph's.
  • Ashley Cozad, women's swimming and diving student-athlete, North Florida.
  • Margrethe Frøland, women's skiing student-athlete, Saint Michael's.
  • Hugo Garcia, men's soccer student-athlete, Wabash.
  • John Ritzen, women's golf head coach, Chadron State.
  • Jeff Ruser, sport psychology specialist, Notre Dame.
  • Ally Smith, associate head athletic trainer/part-time faculty, Otterbein.
  • Cheryl Stuntz, professor of psychology, St. Lawrence.
  • Patricia Thomas, director of athletics, District of Columbia.
  • Khirey Walker, assistant professor of sport management, Elon.

Site logo

Thanks for visiting !

The use of software that blocks ads hinders our ability to serve you the content you came here to enjoy.

We ask that you consider turning off your ad blocker so we can deliver you the best experience possible while you are here.

Thank you for your support!

  • Skip Navigation
  • Request Family Testimony Copy
  • search SEARCH
  • OUR SITES --> OUR SITES USC Shoah Foundation IWitness Visual History Archive Request Permission for Use

Azrieli Research Fellowship for PhD Candidates and Early-Career Scholars, 2024-2025

research media

The Division of Academic Programs at the USC Shoah Foundation invites applications for its inaugural Azrieli Research Fellowships for PhD candidates and early-career scholars during the spring 2025 semester.

One applicant will be chosen to pursue their original research on the Holocaust and/or historical and contemporary antisemitism using the USC Shoah Foundation’s Visual History Archive (VHA), which currently holds over 55,000 video testimonies of survivors and witnesses of the Holocaust and other genocides. The incumbents may also wish to complement their testimony-based research in the VHA with the primary and secondary source collections related to the Holocaust at USC’s Doheny Library.

The fellowship will provide $25,000 support for one semester-long research stay at the USC Shoah Foundation. Fellows must reside in Los Angeles for the duration of their award and will hold one public lecture at USC about their research. Fellows are responsible for securing their own housing, which may be available on USC’s campus, and health insurance.

Eligibility requirements: Candidates must be enrolled in an accredited PhD program or be scholars who are either untenured or in the first five years of their career. Although any person may apply, preference will be given to Canadian scholars, those at institutions located in Canada, or research related to Canada.

This fellowship i awarded on a competitive basis. Applications must be submitted no later than midnight PT on July 31, 2024. Applications will consist of the following:

  • Letter of Intent
  • Project proposal of approximately 1,000 words
  • Curriculum vitae
  • Reference letter from dissertation committee member (for graduate students) or senior colleague (for early-career scholars)

Please note: only applications that have submitted each of the required materials will be considered for these fellowships. Applicants will be notified of the outcome by August 15, 2024. Fellowship recipients may begin their tenure at the USC Shoah Foundation in January 2025.

Please direct both questions regarding the fellowship or application process and reference letters to Dr. Jennifer L. Rodgers, Director of Academic Programs to jr77905[@]usc.edu.

Like this article? Get our e-newsletter.

Sign up today!

Be the first to learn about new articles and personal stories like the one you've just read.

University of South Florida

USF Research & Innovation

Main navigation, usfri newsroom.

Health tech

Tampa Bay Wave opens applications for 2024 HealthTech|X Accelerator

  • April 17, 2024

Tampa Bay Wave , supported by a grant from the U.S. Economic Development Administration (EDA), today announces the opening of the applications portal for its inaugural 2024 HealthTech|X Accelerator program. Set to officially launch in Tampa on July 22, 2024, this program aims to fuel innovation and support high-potential healthtech startups in Tampa and beyond.

The HealthTech|X Accelerator, a non-profit world class program with no equity requirement, offers an immersive 90-day experience with one-on-one mentoring, pitch coaching, and investment readiness training.

The program is sponsored in part by The Florida High Tech Corridor and USF Research & Innovation , plus Foley & Lardner and Levo Health . Partners include the Tampa Bay Economic Development Council (EDC) and the USF Health Center for Advanced Medical Learning and Simulation (CAMLS) .

"We are thrilled to open the application process and invite innovative healthtech startups to join us in advancing healthcare technology in our region," said Linda Olson, CEO of Tampa Bay Wave.

This initiative also aligns with the broader vision of the Tampa Medical and Research District , a growing hub of world-class clinical care, academics, research, and biotechnology anchored by Tampa General Hospital and the USF Health Morsani College of Medicine. In partnership with the 1 Tampa Bay Economic Development Council, the district is building an inclusive ecosystem to attract top talent and world-class innovation, serving as a catalyst for job creation and a healthier, more prosperous region.

For more information and to apply, visit https://www.tampabaywave.org/healthtech . 

Return to article listing

  • Entrepreneurship
  • Honors and Awards
  • Student Research
  • Global Research

USFRI NEWS ARCHIVE

Learn more about USF research by viewing articles from past years  (2010-2019).

USFRI Social Media

To keep up to date on USFRI news, see our official social media accounts. Follow us on Facebook , Twitter , Instagram , and  LinkedIn .

Library homepage

  • school Campus Bookshelves
  • menu_book Bookshelves
  • perm_media Learning Objects
  • login Login
  • how_to_reg Request Instructor Account
  • hub Instructor Commons
  • Download Page (PDF)
  • Download Full Book (PDF)
  • Periodic Table
  • Physics Constants
  • Scientific Calculator
  • Reference & Cite
  • Tools expand_more
  • Readability

selected template will load here

This action is not available.

Social Sci LibreTexts

12.2.3: Methods of Researching Media Effects

  • Last updated
  • Save as PDF
  • Page ID 130796

Learning Objectives

  • Identify the prominent media research methods.
  • Explain the uses of media research methods in a research project.

Media theories provide the framework for approaching questions about media effects ranging from as simple as how 10-year-old boys react to cereal advertisements to as broad as how Internet use affects literacy. Once researchers visualize a project and determine a theoretical framework, they must choose actual research methods. Contemporary research methods are greatly varied and can range from analyzing old newspapers to performing controlled experiments.

Content Analysis

Content analysis is a research technique that involves analyzing the content of various forms of media. Through content analysis, researchers hope to understand both the people who created the content and the people who consumed it. A typical content analysis project does not require elaborate experiments. Instead, it simply requires access to the appropriate media to analyze, making this type of research an easier and inexpensive alternative to other forms of research involving complex surveys or human subjects.

Content analysis studies require researchers to define what types of media to study. For example, researchers studying violence in the media would need to decide which types of media to analyze, such as television, and the types of formats to examine, such as children’s cartoons. The researchers would then need to define the terms used in the study; media violence can be classified according to the characters involved in the violence (strangers, family members, or racial groups), the type of violence (self-inflicted, slapstick, or against others), or the context of the violence (revenge, random, or duty-related). These are just a few of the ways that media violence could be studied with content-analysis techniques.Arthur Asa Berger, Media Research Techniques (Thousand Oaks, CA: Sage, 1998), 23–24.

Archival Research

Any study that analyzes older media must employ archival research, which is a type of research that focuses on reviewing historical documents such as old newspapers and past publications. Old local newspapers are often available on microfilm at local libraries or at the newspaper offices. University libraries generally provide access to archives of national publications such as The New York Times or Time ; publications can also increasingly be found in online databases or on websites.

Older radio programs are available for free or by paid download through a number of online sources. Many television programs and films have also been made available for free download, or for rent or sale through online distributors. Performing an online search for a particular title will reveal the options available.

Resources such as the Internet Archive (www.archive.org) work to archive a number of media sources. One important role of the Internet Archive is website archiving. Internet archives are invaluable for a study of online media because they store websites that have been deleted or changed. These archives have made it possible for Internet content analyses that would have otherwise been impossible.

Surveys are ubiquitous in modern life. Questionaires record data on anything from political preferences to personal hygiene habits. Media surveys generally take one of the following two forms.

A descriptive survey aims to find the current state of things, such as public opinion or consumer preferences. In media, descriptive surveys establish television and radio ratings by finding the number of people who watch or listen to particular programs. An analytical survey, however, does more than simply document a current situation. Instead, it attempts to find out why a particular situation exists. Researchers pose questions or hypotheses about media and then conduct analytical surveys to answer these questions. Analytical surveys can determine the relationship between different forms of media consumption and the lifestyles and habits of media consumers.

Surveys can employ either open-ended or closed-ended questions. Open-ended questions require the participant to generate answers in their own words, while closed-ended questions force the participant to select an answer from a list. Although open-ended questions allow for a greater variety of answers, the results of closed-ended questions are easier to tabulate. Although surveys are useful in media studies, effective use requires keeping their limitations in mind.

Social Role Analysis

As part of child rearing, parents teach their children about social roles. When parents prepare children to attend school for example, they explain the basics of school rules and what is expected of a student to help the youngsters understand the role of students. Like the role of a character in a play, this role carries specific expectations that differentiate school from home. Adults often play a number of different roles as they navigate between their responsibilities as parents, employees, friends, and citizens. Any individual may play a number of roles depending on his or her specific life choices.

Social role analysis of the media involves examining various individuals in the media and analyzing the type of role that each plays. Role analysis research can consider the roles of men, women, children, members of a racial minority, or members any other social group in specific types of media. For example, if the role children play in cartoons is consistently different from the role they play in sitcoms, then certain conclusions might be drawn about both of these formats. Analyzing roles used in media allows researchers to gain a better understanding of the messages that the mass media sends.Arthur Asa Berger, Media Research Techniques (Thousand Oaks, CA: Sage, 1998), 45–48.

Depth Interviews

The depth interview is an anthropological research tool that is also useful in media studies. Depth interviews take surveys one step further by allowing researchers to directly ask a study participant specific questions to gain a fuller understanding of the participant’s perceptions and experiences. Depth interviews have been used in research projects that follow newspaper reporters to find out their reasons for reporting certain stories and in projects that attempt to understand the motivations for reading romance novels. Depth interviews can provide a deeper understanding of the media consumption habits of particular groups of people.Susanna Hornig Priest, Doing Media Research: An Introduction (Thousand Oaks, CA: Sage, 2010), 16–22.

Rhetorical Analysis

Rhetorical analysis involves examining the “styles” used in media and attempting to understand the kinds of messages those styles convey. Media styles refer to form, presentation, composition, use of metaphors, and reasoning structure. Rhetorical analysis reveals the messages not apparent in a strict reading of content. Studies involving rhetorical analysis have focused on media such as advertising to better understand the roles of style and rhetorical devices in media messages.Barrie Gunter, Media Research Methods: Measuring Audiences, Reactions and Impact (Thousand Oaks, CA: Sage, 2000), 89.

Focus Groups

Like depth interviews, focus groups allow researchers to better understand public responses to media. Unlike a depth interview, however, a focus group allows the participants to establish a group dynamic that more closely resembles that of normal media consumption. In media studies, researchers can employ focus groups to judge the reactions of a group to specific media styles and to content. This can be a valuable means of understanding the reasons for consuming specific types of media.

7139b760b653ee5e4cef8ba8e5c234c9.jpg

Experiments

Media research studies also sometimes use controlled experiments that expose a test group to an experience involving media and measure the effects of that experience. Researchers then compare these measurements to those of a control group that had key elements of the experience removed. For example, reseachers may show one group of children a program with three incidents of cartoon violence and another control group of similar children the same program without the violent incidents. Researchers then ask the children from both groups the same sets of questions, and the results are compared.

Participant Observation

In participant observation, researchers try to become part of the group they are studying. Although this technique is typically associated with anthropological studies in which a researcher lives with members of a particular culture to gain a deeper understanding of their values and lives, it is also used in media research.

Media consumption often takes place in groups. Families or friends gather to watch favorite programs, children may watch Saturday morning cartoons with a group of their peers, and adults may host viewing parties for televised sporting events or awards shows. These groups reveal insights into the role of media in the lives of the public. A researcher might join a group that watches football together and stay with the group for an entire season. By becoming a part of the group, the researcher becomes part of the experiment and can reveal important influences of media on culture.Susanna Hornig Priest, Doing Media Research: An Introduction (Thousand Oaks, CA: Sage, 2010), 96–98.

Researchers have studied online role-playing games, such as World of Warcraft , in this manner. These games reveal an interesting aspect of group dynamics: Although participants are not in physical proximity, they function as a group within the game. Researchers are able to study these games by playing them. In the book Digital Culture, Play, and Identity: A World of Warcraft Reader , a group of researchers discussed the results of their participant observation studies. The studies reveal the surprising depth of culture and unwritten rules that exist in the World of Warcraft universe and give important interpretations of why players pursue the game with such dedication.Hilde Corneliussen and Jill Walker Rettberg, “Introduction: ‘Orc ProfessorLFG,’ or Researching in Azeroth,” in Digital Culture, Play, and Identity: A World of Warcraft Reader , ed. Hilde Corneliussen and Jill Walker Rettberg (Cambridge, MA: Massachusetts Institute of Technology, 2008), 6–7.

Key Takeaways

  • Media research methods are the practical procedures for carrying out a research project. These methods include content analysis, surveys, focus groups, experiments, and participant observation.
  • Research methods generally involve either test subjects or analysis of media. Methods involving test subjects include surveys, depth interviews, focus groups, and experiments. Analysis of media can include content, style, format, social roles, and archival analysis.

Exercise \(\PageIndex{1}\)

Media research methods offer a variety of procedures for performing a media study. Each of these methods varies in cost; thus, a project with a lower budget would be prohibited from using some of the more costly methods. Consider a project on teen violence and video game use. Then answer the following short-response questions. Each response should be a minimum of one paragraph.

  • Which methods would a research organization with a low budget favor for this project? Why?
  • How might the results of the project differ from those of one with a higher budget?

The Federal Register

The daily journal of the united states government, request access.

Due to aggressive automated scraping of FederalRegister.gov and eCFR.gov, programmatic access to these sites is limited to access to our extensive developer APIs.

If you are human user receiving this message, we can add your IP address to a set of IPs that can access FederalRegister.gov & eCFR.gov; complete the CAPTCHA (bot test) below and click "Request Access". This process will be necessary for each IP address you wish to access the site from, requests are valid for approximately one quarter (three months) after which the process may need to be repeated.

An official website of the United States government.

If you want to request a wider IP range, first request access for your current IP, and then use the "Site Feedback" button found in the lower left-hand side to make the request.

Read our research on: Gun Policy | International Conflict | Election 2024

Regions & Countries

Americans’ social media use, youtube and facebook are by far the most used online platforms among u.s. adults; tiktok’s user base has grown since 2021.

To better understand Americans’ social media use, Pew Research Center surveyed 5,733 U.S. adults from May 19 to Sept. 5, 2023. Ipsos conducted this National Public Opinion Reference Survey (NPORS) for the Center using address-based sampling and a multimode protocol that included both web and mail. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race and ethnicity, education and other categories.

Polls from 2000 to 2021 were conducted via phone. For more on this mode shift, read our Q&A .

Here are the questions used for this analysis , along with responses, and  its methodology ­­­.

A note on terminology: Our May-September 2023 survey was already in the field when Twitter changed its name to “X.” The terms  Twitter  and  X  are both used in this report to refer to the same platform.

Social media platforms faced a range of controversies in recent years, including concerns over misinformation and data privacy . Even so, U.S. adults use a wide range of sites and apps, especially YouTube and Facebook. And TikTok – which some Congress members previously called to ban – saw growth in its user base.

These findings come from a Pew Research Center survey of 5,733 U.S. adults conducted May 19-Sept. 5, 2023.

Which social media sites do Americans use most?

A horizontal bar chart showing that most U.S. adults use YouTube and Facebook; about half use Instagram.

YouTube by and large is the most widely used online platform measured in our survey. Roughly eight-in-ten U.S. adults (83%) report ever using the video-based platform.

While a somewhat lower share reports using it, Facebook is also a dominant player in the online landscape. Most Americans (68%) report using the social media platform.

Additionally, roughly half of U.S. adults (47%) say they use Instagram .

The other sites and apps asked about are not as widely used , but a fair portion of Americans still use them:

  • 27% to 35% of U.S. adults use Pinterest, TikTok, LinkedIn, WhatsApp and Snapchat.
  • About one-in-five say they use Twitter (recently renamed “X”) and Reddit.  

This year is the first time we asked about BeReal, a photo-based platform launched in 2020. Just 3% of U.S. adults report using it.

Recent Center findings show that YouTube also dominates the social media landscape among U.S. teens .

TikTok sees growth since 2021

One platform – TikTok – stands out for growth of its user base. A third of U.S. adults (33%) say they use the video-based platform, up 12 percentage points from 2021 (21%).

A line chart showing that a third of U.S. adults say they use TikTok, up from 21% in 2021.

The other sites asked about had more modest or no growth over the past couple of years. For instance, while YouTube and Facebook dominate the social media landscape, the shares of adults who use these platforms has remained stable since 2021.

The Center has been tracking use of online platforms for many years. Recently, we shifted from gathering responses via telephone to the web and mail. Mode changes can affect study results in a number of ways, therefore we have to take a cautious approach when examining how things have – or have not – changed since our last study on these topics in 2021. For more details on this shift, please read our Q&A .

Stark age differences in who uses each app or site

Adults under 30 are far more likely than their older counterparts to use many of the online platforms. These findings are consistent with previous Center data .

A dot plot showing that the youngest U.S. adults are far more likely to use Instagram, Snapchat and TikTok; age differences are less pronounced for Facebook.

Age gaps are especially large for Instagram, Snapchat and TikTok – platforms that are used by majorities of adults under 30. For example:

  • 78% of 18- to 29-year-olds say they use Instagram, far higher than the share among those 65 and older (15%).
  • 65% of U.S. adults under 30 report using Snapchat, compared with just 4% of the oldest age cohort.
  • 62% of 18- to 29-year-olds say they use TikTok, much higher than the share among adults ages 65 years and older (10%).
  • Americans ages 30 to 49 and 50 to 64 fall somewhere in between for all three platforms.

YouTube and Facebook are the only two platforms that majorities of all age groups use. That said, there is still a large age gap between the youngest and oldest adults when it comes to use of YouTube. The age gap for Facebook, though, is much smaller.

Americans ages 30 to 49 stand out for using three of the platforms – LinkedIn, WhatsApp and Facebook – at higher rates. For instance, 40% of this age group uses LinkedIn, higher than the roughly three-in-ten among those ages 18 to 29 and 50 to 64. And just 12% of those 65 and older say the same. 

Overall, a large majority of the youngest adults use multiple sites and apps. About three-quarters of adults under 30 (74%) use at least five of the platforms asked about. This is far higher than the shares of those ages 30 to 49 (53%), 50 to 64 (30%), and ages 65 and older (8%) who say the same.  

Refer to our social media fact sheet for more detailed data by age for each site and app.

Other demographic differences in use of online platforms

A number of demographic differences emerge in who uses each platform. Some of these include the following:

  • Race and ethnicity: Roughly six-in-ten Hispanic (58%) and Asian (57%) adults report using Instagram, somewhat higher than the shares among Black (46%) and White (43%) adults. 1
  • Gender: Women are more likely than their male counterparts to say they use the platform.
  • Education: Those with some college education and those with a college degree report using it at somewhat higher rates than those who have a high school degree or less education.
  • Race and ethnicity: Hispanic adults are particularly likely to use TikTok, with 49% saying they use it, higher than Black adults (39%). Even smaller shares of Asian (29%) and White (28%) adults say the same.
  • Gender: Women use the platform at higher rates than men (40% vs. 25%).
  • Education: Americans with higher levels of formal education are especially likely to use LinkedIn. For instance, 53% of Americans with at least a bachelor’s degree report using the platform, far higher than among those who have some college education (28%) and those who have a high school degree or less education (10%). This is the largest educational difference measured across any of the platforms asked about.

Twitter (renamed “X”)

  • Household income: Adults with higher household incomes use Twitter at somewhat higher rates. For instance, 29% of U.S. adults who have an annual household income of at least $100,000 say they use the platform. This compares with one-in-five among those with annual household incomes of $70,000 to $99,999, and around one-in-five among those with annual incomes of less than $30,000 and those between $30,000 and $69,999.
  • Gender: Women are far more likely to use Pinterest than men (50% vs. 19%).
  • Race and ethnicity: 54% of Hispanic adults and 51% of Asian adults report using WhatsApp. This compares with 31% of Black adults and even smaller shares of those who are White (20%).

A heat map showing how use of online platforms – such as Facebook, Instagram or TikTok – differs among some U.S. demographic groups.

  • Estimates for Asian adults are representative of English speakers only. ↩

Sign up for our Internet, Science and Tech newsletter

New findings, delivered monthly

Report Materials

Table of contents, q&a: how – and why – we’re changing the way we study tech adoption, americans’ use of mobile technology and home broadband, social media fact sheet, internet/broadband fact sheet, mobile fact sheet, most popular.

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

U.S. flag

An official website of the United States government

Here’s how you know

Official websites use .gov A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS A lock ( Lock A locked padlock ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

https://www.nist.gov/news-events/news/2024/04/chips-america-announces-over-50-million-funding-opportunity-encourage-small

CHIPS for America Announces over $50 million Funding Opportunity to Encourage Small Business Research and Development

Square with rounded edges. Fill of square looks like American flag. Coming off the sides of the square are lines with unfilled circles at end. Words underneath: CHIPS for AMERICA

Media Contact: Hannah Robinson, Hannah.Robinson [at] chips.gov ( Hannah[dot]Robinson[at]chips[dot]gov )  

Today, the Biden-Harris Administration issued a Notice of Funding Opportunity (NOFO) to seek applications from eligible small businesses to explore the technical merit or feasibility of an innovative idea or technology for developing a viable product or service for introduction in the commercial microelectronics marketplace. The Biden-Harris Administration is dedicated to helping small businesses access the resources they need to thrive and promote competition to level the playing field.

The CHIPS for America program anticipates up to approximately $54 million in funding across multiple topics on research projects for critically needed measurement services, tools, and instrumentation; innovative manufacturing metrologies; novel assurance and provenance technologies and advanced metrology research and development (R&D) testbeds to help secure U.S. leadership in the global semiconductor industry. 

President Biden signed the bipartisan CHIPS and Science Act into law on August 9, 2022. The Department of Commerce is overseeing $50 billion to revitalize the U.S. semiconductor industry and strengthen the country’s economic and national security. CHIPS for America R&D within the U.S. Department of Commerce is responsible for administering $11 billion to advance U.S. leadership in semiconductor R&D. CHIPS R&D is a critical part of President Biden’s agenda to support American innovation for decades to come.

Metrology, the science of measurement and its application, plays a key role in semiconductor manufacturing. As devices become more complex, smaller, and multi-layered, the ability to measure, monitor, predict, and ensure quality in manufacturing becomes much more difficult and uncertain.

In September 2022, NIST published a report titled Strategic Opportunities for U.S. Semiconductor Manufacturing , which identifies seven grand challenges that need critical attention from a metrology perspective to achieve U.S. leadership in semiconductor research, development, and manufacturing. This report summarizes input from industry, academia, and government and provides strategies for addressing the grand challenges.

“CHIPS for America is committed to building opportunities for all businesses, including small businesses, to prosper as we grow the U.S. semiconductor industry. Because we recognize the high costs associated with innovation in the semiconductor industry, we’re offering awardees of this funding opportunity up to the maximum amount possible per award by the Small Business Innovation Research Program to ensure opportunity is within reach for all businesses seeking to be part of the U.S. semiconductor ecosystem,” said U.S. Secretary of Commerce Gina Raimondo .

“Small businesses have an important role to play in the semiconductor ecosystem,” said Under Secretary of Commerce for Standards and Technology and National Institute of Standards and Technology (NIST) Director Laurie E. Locascio . “NIST has long supported the SBIR program, and this funding opportunity dedicated to CHIPS Metrology will help give small businesses the opportunity to take innovative ideas, scale them for the commercial marketplace, and boost the U.S. economy.”

Funded activities are expected to include, but not necessarily be limited to compact, fieldable cryogenic technologies, compact extreme ultraviolet (EUV) sources, and the seven grand challenges.

This funding opportunity is provided through the Small Business Innovation Research (SBIR) Program, the federal government’s largest platform to promote U.S. technology innovation research and private-sector commercialization. NIST is one of eleven federal government agencies that operate an SBIR program.  

CHIPS for America will provide a briefing on details of the NOFO on April 18, 2024, at 3:30pm ET. Webinar participants must register in advance.

Learn more about the CHIPS Metrology Program and the seven grand challenges . About CHIPS for America    CHIPS for America is part of President Biden’s economic plan to invest in America, stimulate private sector investment, create good-paying jobs, make more in the United States, and revitalize communities left behind. CHIPS for America includes the CHIPS Program Office, responsible for manufacturing incentives, and the CHIPS Research and Development (R&D) Office, responsible for R&D programs. Both offices sit within the National Institute of Standards and Technology (NIST) at the Department of Commerce. NIST promotes U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST is uniquely positioned to successfully administer the CHIPS for America program because of the bureau’s strong relationships with U.S. industries, its deep understanding of the semiconductor ecosystem, and its reputation as fair and trusted. Visit https://www.chips.gov to learn more.      

IMAGES

  1. What are the different types of media research?

    research media

  2. Explain The Meaning and Functions of Media Research

    research media

  3. Research Assessment using Social Media

    research media

  4. Grand View Research: 5 Ways Social Media Helps You In Market Research

    research media

  5. Why research is a crucial ingredient in building your media list

    research media

  6. Top 10 Social Media Research Studies for Public Relations Professionals

    research media

COMMENTS

  1. 2.3 Methods of Researching Media Effects

    Research methods generally involve either test subjects or analysis of media. Methods involving test subjects include surveys, depth interviews, focus groups, and experiments. Analysis of media can include content, style, format, social roles, and archival analysis.

  2. Research Methods

    Mass Communications Research Methods. Originally published in 1988. Step-by-step, this book leads students from problem identification, through the mazes of surveys, experimentation, historical/qualitative studies, statistical analysis, and computer data processing to the final submission and publication in scientific or popular publications.

  3. Media Research

    Media, Uses of. J. Robinson, D. Davis, in International Encyclopedia of the Social & Behavioral Sciences, 2001 2.2 Channels. Recently, a channels approach to media research has emerged (Reagan 1996) that assumes that people develop 'repertoires' of media and of the channels into which such media are divided.These 'repertoires' consist of sets of channels that individuals prefer to use ...

  4. Media and Communication Research Methods

    The Fifth Edition of Media and Communication Research Methods includes a new chapter on discourse analysis; expanded discussion of social media, including discussion of the ethics of Facebook experiments; and expanded coverage of the research process with new discussion of search strategies and best practices for analyzing research articles.

  5. Media Effects Research in Journalism & Mass Communication Quarterly

    When identifying the "milestones" of media effects research, Lowery and DeFleur (1995) introduced their volume by suggesting that the chapters overview scholarship that largely reflects Shannon's (1948) mathematical model of mass communication, which generally conceptualizes the effect of media as a one-way, linear process from source to ...

  6. 7.3: Methods of Researching Media Effects

    Exercise 7.3.1 7.3. 1. Media research methods offer a variety of procedures for performing a media study. Each of these methods varies in cost; thus, a project with a lower budget would be prohibited from using some of the more costly methods. Consider a project on teen violence and video game use.

  7. Media & Society

    About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions.

  8. 2.3 Methods of Researching Media Effects

    Archival Research. Any study that analyzes older media must employ archival research, which is a type of research that focuses on reviewing historical documents such as old newspapers and past publications. Old local newspapers are often available on microfilm at local libraries or at the newspaper offices.

  9. Media, Culture & Society: Sage Journals

    Media, Culture & Society provides a major international, peer-reviewed forum for the presentation of research and discussion concerning the media, including the newer information and communication technologies, within their political, economic, cultural and historical contexts. It regularly engages with a wider range of issues in cultural and social analysis.

  10. 2.2 Media Effects Theories

    By using symbolic interactionist theory, researchers can look at the ways media affects a society's shared symbols and, in turn, the influence of those symbols on the individual (Jansson-Boyd, 2010). One of the ways the media creates and uses cultural symbols to affect an individual's sense of self is advertising.

  11. Media Attitudes

    About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions.

  12. News Habits & Media

    About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions.

  13. Research Media

    Research Media's goal is to make life simpler for scientists by bringing clarity to the complexity of their projects and networks. We work with researchers from around the globe to help ...

  14. Research

    The MIT Media Lab is an interdisciplinary research lab that encourages the unconventional mixing and matching of seemingly disparate research areas.

  15. Media Psychology

    Media Psychology is an interdisciplinary journal devoted to publishing theoretically oriented, empirical research that is at the intersection of psychology and media/mediated communication. Research topics include media uses, processes, and effects. Reports of empirical research, theory papers, state-of-the-art reviews, replication studies and meta-analyses that provide a major synthesis of ...

  16. Media use and brain development during adolescence

    Most media research to date is based on correlational and self-report data, and would be strengthened by integrating experimental paradigms and more objectively assessed behavioral, emotional, and ...

  17. Social Media Use and Its Connection to Mental Health: A Systematic

    Abstract. Social media are responsible for aggravating mental health problems. This systematic study summarizes the effects of social network usage on mental health. Fifty papers were shortlisted from google scholar databases, and after the application of various inclusion and exclusion criteria, 16 papers were chosen and all papers were ...

  18. Gender and Media Representations: A Review of the Literature on Gender

    Research on social media has also shown some specificities. Social media offers the unique dynamic of being able to post and disseminate one's own content and almost always includes built-in mechanisms for user-generated feedback (e.g., likes), as well as often being populated by one's peers, friends and family rather than strangers. ...

  19. Home

    Since 1987, the Media Research Center has worked successfully to expose and counter the leftist bias of the national news media, where now only a historically low 32% of Americans say they trust media to be fair and impartial. Alongside this effort, MRC leads the conservative movement in combatting the left's efforts to manipulate the electoral process, silence opposing voices online, and ...

  20. 3 research teams named Innovations in Research and Practice Grant

    During the 2024-25 academic year, three research teams will receive a total of $100,000 to conduct projects designed to enhance student-athletes' psychosocial well-being and mental health. This is the 10th year of the NCAA Innovations in Research and Practice Grant Program. The panel that reviewed the proposals was composed of current student ...

  21. APA report calls on social media companies to take responsibility to

    APA has issued a new report as a follow-up to its 2023 health advisory focusing on social media design features and functions built into these platforms that are inherently unsafe for youth. The new report points to the psychological threats these features and functions introduce and the developmental vulnerabilities they exploit.

  22. More Americans now see news media gaining ...

    To examine Americans' views about the influence of the news media, Pew Research Center surveyed 12,045 U.S. adults from March 8 to 14, 2021. Everyone who completed the survey is a member of the Center's American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses.

  23. Azrieli Research Fellowship for PhD Candidates and Early-Career

    The incumbents may also wish to complement their testimony-based research in the VHA with the primary and secondary source collections related to the Holocaust at USC's Doheny Library. The fellowship will provide $25,000 support for one semester-long research stay at the USC Shoah Foundation.

  24. MSU research suggests darker side of being politically confident

    The research involved two parts; the first relied on survey data to evaluate political efficacy and views of the political parties; the second was a survey experiment to evaluate tolerance of political discrimination.

  25. Tampa Bay Wave opens applications for 2024 HealthTech|X Accelerator

    Tampa Bay Wave, supported by a grant from the U.S. Economic Development Administration (EDA), today announces the opening of the applications portal for its inaugural 2024 HealthTech|X Accelerator program. Set to officially launch in Tampa on July 22, 2024, this program aims to fuel innovation and support high-potential healthtech startups in ...

  26. Pew Research Center

    About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions.

  27. 12.2.3: Methods of Researching Media Effects

    Exercise 12.2.3.1 12.2.3. 1. Media research methods offer a variety of procedures for performing a media study. Each of these methods varies in cost; thus, a project with a lower budget would be prohibited from using some of the more costly methods. Consider a project on teen violence and video game use.

  28. Notice of NITRD Workshop on the National Spectrum Research and

    The Workshop on the National Spectrum R&D Plan will be co-located with NSF Spectrum Week and will take place on May 17, 2024, from 8:00 a.m. to 3:30 p.m. (ET), at the Hilton Arlington National Landing, 2399 Richmond Hwy., Arlington, VA 22202. Instructions: Registration is required for in-person attendance; remote viewing will be available via ...

  29. How Americans Use Social Media

    Roughly eight-in-ten U.S. adults (83%) report ever using the video-based platform. While a somewhat lower share reports using it, Facebook is also a dominant player in the online landscape. Most Americans (68%) report using the social media platform. Additionally, roughly half of U.S. adults (47%) say they use Instagram.

  30. CHIPS for America Announces over $50 million Funding Opportunity to

    Media Contact: Hannah Robinson, Hannah.Robinson [at] chips.gov (Hannah[dot]Robinson[at]chips[dot]gov) Today, the Biden-Harris Administration issued a Notice of Funding Opportunity (NOFO) to seek applications from eligible small businesses to explore the technical merit or feasibility of an innovative idea or technology for developing a viable product or service for introduction in the ...