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SOCIAL MEDIA USE BY TWEENS AND TEENS

Benefits of children and adolescents using social media, socialization and communication, enhanced learning opportunities, accessing health information, risks of youth using social media, cyberbullying and online harassment, facebook depression, privacy concerns and the digital footprint, influence of advertisements on buying, on too young: mixed messages from parents and the law, the role of pediatricians, lead authors, council on communications and media executive committee, 2010–2011, past executive committee members, the impact of social media on children, adolescents, and families.

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Gwenn Schurgin O'Keeffe , Kathleen Clarke-Pearson , Council on Communications and Media; The Impact of Social Media on Children, Adolescents, and Families. Pediatrics April 2011; 127 (4): 800–804. 10.1542/peds.2011-0054

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Using social media Web sites is among the most common activity of today's children and adolescents. Any Web site that allows social interaction is considered a social media site, including social networking sites such as Facebook, MySpace, and Twitter; gaming sites and virtual worlds such as Club Penguin, Second Life, and the Sims; video sites such as YouTube; and blogs. Such sites offer today's youth a portal for entertainment and communication and have grown exponentially in recent years. For this reason, it is important that parents become aware of the nature of social media sites, given that not all of them are healthy environments for children and adolescents. Pediatricians are in a unique position to help families understand these sites and to encourage healthy use and urge parents to monitor for potential problems with cyberbullying, “Facebook depression,” sexting, and exposure to inappropriate content.

Engaging in various forms of social media is a routine activity that research has shown to benefit children and adolescents by enhancing communication, social connection, and even technical skills. 1   Social media sites such as Facebook and MySpace offer multiple daily opportunities for connecting with friends, classmates, and people with shared interests. During the last 5 years, the number of preadolescents and adolescents using such sites has increased dramatically. According to a recent poll, 22% of teenagers log on to their favorite social media site more than 10 times a day, and more than half of adolescents log on to a social media site more than once a day. 2   Seventy-five percent of teenagers now own cell phones, and 25% use them for social media, 54% use them for texting, and 24% use them for instant messaging. 3   Thus, a large part of this generation's social and emotional development is occurring while on the Internet and on cell phones.

Because of their limited capacity for self-regulation and susceptibility to peer pressure, children and adolescents are at some risk as they navigate and experiment with social media. Recent research indicates that there are frequent online expressions of offline behaviors, such as bullying, clique-forming, and sexual experimentation, 4   that have introduced problems such as cyberbullying, 5   privacy issues, and “sexting.” 6   Other problems that merit awareness include Internet addiction and concurrent sleep deprivation. 7  

Many parents today use technology incredibly well and feel comfortable and capable with the programs and online venues that their children and adolescents are using. Nevertheless, some parents may find it difficult to relate to their digitally savvy youngsters online for several reasons. Such parents may lack a basic understanding of these new forms of socialization, which are integral to their children's lives. 8   They frequently do not have the technical abilities or time needed to keep pace with their children in the ever-changing Internet landscape. 8   In addition, these parents often lack a basic understanding that kids' online lives are an extension of their offline lives. The end result is often a knowledge and technical skill gap between parents and youth, which creates a disconnect in how these parents and youth participate in the online world together. 9  

Social media sites allow teens to accomplish online many of the tasks that are important to them offline: staying connected with friends and family, making new friends, sharing pictures, and exchanging ideas. Social media participation also can offer adolescents deeper benefits that extend into their view of self, community, and the world, including 1 , 10   :

opportunities for community engagement through raising money for charity and volunteering for local events, including political and philanthropic events;

enhancement of individual and collective creativity through development and sharing of artistic and musical endeavors;

growth of ideas from the creation of blogs, podcasts, videos, and gaming sites;

expansion of one's online connections through shared interests to include others from more diverse backgrounds (such communication is an important step for all adolescents and affords the opportunity for respect, tolerance, and increased discourse about personal and global issues); and

fostering of one's individual identity and unique social skills. 11  

Middle and high school students are using social media to connect with one another on homework and group projects. 11   For example, Facebook and similar social media programs allow students to gather outside of class to collaborate and exchange ideas about assignments. Some schools successfully use blogs as teaching tools, 12   which has the benefit of reinforcing skills in English, written expression, and creativity.

Adolescents are finding that they can access online information about their health concerns easily and anonymously. Excellent health resources are increasingly available to youth on a variety of topics of interest to this population, such as sexually transmitted infections, stress reduction, and signs of depression. Adolescents with chronic illnesses can access Web sites through which they can develop supportive networks of people with similar conditions. 13   The mobile technologies that teens use daily, namely cell phones, instant messaging, and text messaging, have already produced multiple improvements in their health care, such as increased medication adherence, better disease understanding, and fewer missed appointments. 14   Given that the new social media venues all have mobile applications, teenagers will have enhanced opportunities to learn about their health issues and communicate with their doctors. However, because of their young age, adolescents can encounter inaccuracies during these searches and require parental involvement to be sure they are using reliable online resources, interpreting the information correctly, and not becoming overwhelmed by the information they are reading. Encouraging parents to ask about their children's and adolescents' online searches can help facilitate not only discovery of this information but discussion on these topics.

Using social media becomes a risk to adolescents more often than most adults realize. Most risks fall into the following categories: peer-to-peer; inappropriate content; lack of understanding of online privacy issues; and outside influences of third-party advertising groups.

Cyberbullying is deliberately using digital media to communicate false, embarrassing, or hostile information about another person. It is the most common online risk for all teens and is a peer-to-peer risk.

Although “online harassment” is often used interchangeably with the term “cyberbullying,” it is actually a different entity. Current data suggest that online harassment is not as common as offline harassment, 15   and participation in social networking sites does not put most children at risk of online harassment. 16   On the other hand, cyberbullying is quite common, can occur to any young person online, and can cause profound psychosocial outcomes including depression, anxiety, severe isolation, and, tragically, suicide. 17  

Sexting can be defined as “sending, receiving, or forwarding sexually explicit messages, photographs, or images via cell phone, computer, or other digital devices.” 18   Many of these images become distributed rapidly via cell phones or the Internet. This phenomenon does occur among the teen population; a recent survey revealed that 20% of teens have sent or posted nude or seminude photographs or videos of themselves. 19   Some teens who have engaged in sexting have been threatened or charged with felony child pornography charges, although some states have started characterizing such behaviors as juvenile-law misdemeanors. 20 , 21   Additional consequences include school suspension for perpetrators and emotional distress with accompanying mental health conditions for victims. In many circumstances, however, the sexting incident is not shared beyond a small peer group or a couple and is not found to be distressing at all. 4  

Researchers have proposed a new phenomenon called “Facebook depression,” defined as depression that develops when preteens and teens spend a great deal of time on social media sites, such as Facebook, and then begin to exhibit classic symptoms of depression. 22 , – , 27   Acceptance by and contact with peers is an important element of adolescent life. The intensity of the online world is thought to be a factor that may trigger depression in some adolescents. As with offline depression, preadolescents and adolescents who suffer from Facebook depression are at risk for social isolation and sometimes turn to risky Internet sites and blogs for “help” that may promote substance abuse, unsafe sexual practices, or aggressive or self-destructive behaviors.

The main risk to preadolescents and adolescents online today are risks from each other, risks of improper use of technology, lack of privacy, sharing too much information, or posting false information about themselves or others. 28   These types of behavior put their privacy at risk.

When Internet users visit various Web sites, they can leave behind evidence of which sites they have visited. This collective, ongoing record of one's Web activity is called the “digital footprint.” One of the biggest threats to young people on social media sites is to their digital footprint and future reputations. Preadolescents and adolescents who lack an awareness of privacy issues often post inappropriate messages, pictures, and videos without understanding that “what goes online stays online.” 8   As a result, future jobs and college acceptance may be put into jeopardy by inexperienced and rash clicks of the mouse. Indiscriminate Internet activity also can make children and teenagers easier for marketers and fraudsters to target.

Many social media sites display multiple advertisements such as banner ads, behavior ads (ads that target people on the basis of their Web-browsing behavior), and demographic-based ads (ads that target people on the basis of a specific factor such as age, gender, education, marital status, etc) that influence not only the buying tendencies of preadolescents and adolescents but also their views of what is normal. It is particularly important for parents to be aware of the behavioral ads, because they are common on social media sites and operate by gathering information on the person using a site and then targeting that person's profile to influence purchasing decisions. Such powerful influences start as soon as children begin to go online and post. 29   Many online venues are now prohibiting ads on sites where children and adolescents are participating. It is important to educate parents, children, and adolescents about this practice so that children can develop into media-literate consumers and understand how advertisements can easily manipulate them.

Many parents are aware that 13 years is the minimum age for most social media sites but do not understand why. There are 2 major reasons. First, 13 years is the age set by Congress in the Children's Online Privacy Protection Act (COPPA), which prohibits Web sites from collecting information on children younger than 13 years without parental permission. Second, the official terms of service for many popular sites now mirror the COPPA regulations and state that 13 years is the minimum age to sign up and have a profile. This is the minimum age to sign on to sites such as Facebook and MySpace. There are many sites for preadolescents and younger children that do not have such an age restriction, such as Disney sites, Club Penguin, and others.

It is important that parents evaluate the sites on which their child wishes to participate to be sure that the site is appropriate for that child's age. For sites without age stipulations, however, there is room for negotiation, and parents should evaluate the situation via active conversation with their preadolescents and adolescents.

In general, if a Web site specifies a minimum age for use in its terms of service, the American Academy of Pediatrics (AAP) encourages that age to be respected. Falsifying age has become common practice by some preadolescents and some parents. Parents must be thoughtful about this practice to be sure that they are not sending mixed messages about lying and that online safety is always the main message being emphasized.

Pediatricians are in a unique position to educate families about both the complexities of the digital world and the challenging social and health issues that online youth experience by encouraging families to face the core issues of bullying, popularity and status, depression and social anxiety, risk-taking, and sexual development. Pediatricians can help parents understand that what is happening online is an extension of these underlying issues and that parents can be most helpful if they understand the core issues and have strategies for dealing with them whether they take place online, offline, or, increasingly, both.

Some specific ways in which pediatricians can assist parents include:

Advise parents to talk to their children and adolescents about their online use and the specific issues that today's online kids face.

Advise parents to work on their own participation gap in their homes by becoming better educated about the many technologies their youngsters are using.

Discuss with families the need for a family online-use plan that involves regular family meetings to discuss online topics and checks of privacy settings and online profiles for inappropriate posts. The emphasis should be on citizenship and healthy behavior and not punitive action, unless truly warranted.

Discuss with parents the importance of supervising online activities via active participation and communication, as opposed to remote monitoring with a “net-nanny” program (software used to monitor the Internet in the absence of parents).

In addition, the AAP encourages all pediatricians to increase their knowledge of digital technology so that they can have a more educated frame of reference for the tools their patients and families are using, which will aid in providing timely anticipatory media guidance as well as diagnosing media-related issues should they arise.

To assist families in discussing the more challenging issues that kids face online, pediatricians can provide families with reputable online resources, including “Social Media and Sexting Tips” from the AAP ( www.aap.org/advocacy/releases/june09socialmedia.htm ), 30   the AAP Internet safety site ( http://safetynet.aap.org ), 31   and the AAP public education site, HealthyChildren.org ( www.healthychildren.org/english/search/pages/results.aspx?Type=Keyword&Keyword=Internet+safety ), 32   and encourage parents to discuss these resources with their children. Pediatricians with Web sites or blogs may wish to create a section with resources for parents and children about these issues and may suggest a list of or links to social media sites that are appropriate for the different age groups. In this way, pediatricians can support the efforts of parents to engage and educate youth to be responsible, sensible, and respectful digital citizens.

Gwenn Schurgin O'Keeffe, MD

Kathleen Clarke-Pearson, MD

Deborah Ann Mulligan, MD, Chairperson

Tanya Remer Altmann, MD

Ari Brown, MD

Dimitri A. Christakis, MD

Holly Lee Falik, MD

David L. Hill, MD

Marjorie J. Hogan, MD

Alanna Estin Levine, MD

Kathleen G. Nelson, MD

Benard P. Dreyer, MD

Gilbert L. Fuld, MD, Immediate Past Chairperson

Victor C. Strasburger, MD

Michael Brody, MD

American Academy of Child and Adolescent Psychiatry

Brian Wilcox, PhD

American Psychological Association

Gina Ley Steiner

Veronica Laude Noland, [email protected]

This document is copyrighted and is property of the American Academy of Pediatrics and its Board of Directors. All authors have filed conflict of interest statements with the American Academy of Pediatrics. Any conflicts have been resolved through a process approved by the Board of Directors. The American Academy of Pediatrics has neither solicited nor accepted any commercial involvement in the development of the content of this publication.

The guidance in this report does not indicate an exclusive course of treatment or serve as a standard of medical care. Variations, taking into account individual circumstances, may be appropriate.

All clinical reports from the American Academy of Pediatrics automatically expire 5 years after publication unless reaffirmed,revised, or retired at or before that time.

American Academy of Pediatrics

RE: Social Media and Parenting

Social media is amongst one of the leading ways children, adolescents, and teens stay connected to the each other and the world around them. Ahn (2011) in the article “The Effect of Social Network Sites on Adolescents' Social and Academic Development” identifies the pros and cons of social media on children; the author highlights the needs for physicians and parents to control how children use social media. This dominating tool can sway the youthful generation for positive and negative influences. In my opinion, it is the sole responsibility of the parent to be actively monitoring the usage of underage children using technology as a means to stay connected to peers and the outside world. Marcus Barlow, program coordinator for the American Academy of Pediatrics Iowa Chapter, is one of those trying to find data that will arm parents with better information to make these decisions (Gowens, 2015). Parents need to gain control by learning their child’s “go to” networking sites and how they work. From a personal point of view, my son has a smartphone, which is monitored daily by me. His primary use for it is staying connected with family and friends through social media sites, such as Facebook (being number one), snap chat, youtube, and many others. It does affect him while being at the dinner table and even going to sleep at night. In which, I take the phone away at certain hours of the day. However, my niece uses social media to help teach her things, while her mother is at work. As sad as it may be, both parents need to be away for work more than they are home sometimes. Social media has taught my niece things like a morning routine, hair tips, and tricks, and even taking care of her menstruation (she didn’t even notify her parents, she turned to social media for help). On the contrary, is it permissible or safe that social media is raising our children? Unfortunately, we live in a world that both parents are forced to work to make ends meet. If both parents aren’t working today, they’re struggling to make ends meet. Social media is all over the place and hard to avoid. Most devices have “wifi” ability built in them, including TV’s and much more. In conclusion, Social media is amongst one of the leading ways children, adolescents, and teens stay connected to the each other and the world around them. There’s many studies going regarding the issues and effects social media has on our children, adolescents, and teens. There are pros and cons to this issue. References Ahn, J. (2011). The effect of social network sites on adolescents' social and academic development: Current theories and controversies. Journal of the American Society for information Science and Technology, 62(8), 1435-1445. Gowens, A. (2015, February 26). --> Health: Social media affects the teens, tween's physical and mental health | The Gazette. Retrieved from http://www.thegazette.com/subject/life/health-social- media-affects-the-teens-tweens-physical-and-mental-health-20150226

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• 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

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• 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.

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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.

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 .

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.

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.

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.

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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).

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The role of media within young people’s socialization: A theoretical approach

Researching the role of media within young people’s socialization requires an integrative approach that understands socialization as a contextual, interlinked process in which children construct their approach to life against the background of ‘developmental tasks’ and of the relevant social contexts. This article presents a praxeological approach that combines subjective and structural components of practice and that has been put into practice by means of a qualitative longitudinal-panel study on children’s socialization. The approach is based on three analytical concepts, options for action, outlines for action, and competences for action, and advances an interlinkage of subjective perception, action-driving orientations, and everyday-life practices against the backdrop of (changing) socio-structural conditions.

Acknowledgement

I would like to thank Uwe Hasebrink for constructive discussions during the process of writing this article. I also thank the reviewers for their helpful comments and suggestions.

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International Journal of Research and Innovation in Social Science (IJRISS)

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•                                                                       Strengthening Social Sciences for the Future
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A Review on the Impact of Social Media on Societal Development

• Samuel Ajijola
• May 10, 2023
• Social Science

Samuel Ajijola Ecole Superieure Des Sciences, De Commerce Et D’administration Des Enterprises Du Benin, Department of Mass Communication.

DOI: https://doi.org/10.47772/IJRISS.2023.7471

 Received: 03 April 2023; Accepted: 12 April 2023; Published: 10 May 2023

The term “social media” refers to a group of online communication platforms that focus on user-generated content, collaboration, and community involvement. This review’s main objective is to give detailed information regarding how social media affects society. Several researches suggested that social media might have both positive and positive effects. Positive results include improved learning opportunities, socialization and communication, as well as access to health-related information. Some of the negative effects of social media on societies include terrorism, criminal activity, catfishing, depression, anxiety, and catfishing. The outcome will typically be favorable when people utilize social media for the right reasons and set goals, and the opposite is true for bad side effects. To lessen and protect communities from its harmful aspects

INTRODUCTION

Merriam-Webster (2019) described social media “Forms of electronic communication (such as websites for social networking and micro blogging) through which users create online communities to share information, ideas, personal messages, and other content (such as videos)”. Ajijola (2022) posits that it is a portal that attracts so many internet users for the purpose of entertainment, dissemination of news, sending messages and other forms of expression through the media.

Social media are the interactive media of mass communication that gives chance for the two way communication process and defeats the one way (incomplete) communication process that is available on the Print and Electronic media whereby the feedback is delayed, slow or is not received. However, social media gives room for immediate feedback from the receiver of the message (Information, culture, tradition e.t.c) sent. Social media is a useful networking service for young people when used purposively. For instance, According to Faudree (2009) as cited by Damota (2019) lists the following five advantages of Facebook: (1) Facebook is a social networking site that students frequently use when they are bored, (2) Facebook is a way for students to communicate with other members, (3) Facebook is a place where students can unwind, (4) Facebook enables students to support one another and discover their individual identities.

Social media can be also a source of mutilation. Sander and Thomas (2013) cited in Mulugeta (2019) in their study identified two types of mutilation: Cultural, social-psychological and cognitive: forms of “Attention Deficit (Disorder)” and Business and macro-economic: forms of “Financial Deficit”. Nowadays, the majority of teenagers across all age groups are quickly switching from using electronic media like television and radio to social media. Adolescents who use and experiment with social media run some danger due to their low ability to self-regulate and vulnerability to peer pressure. Recent studies show that offline behaviors like bullying, clique formation, and sexual experimentation are frequently expressed online. This has led to issues like cyber bullying(Ige & Adewale, 2022b), privacy concerns as data could be mined from the cloud(Ige & Adewale, 2022a) for malicious use, sexting, Internet addiction, and sleep deprivation. (Patchin et al., 2006).

The general purpose of this review is to provide detail information about the Impact of Social Media on Societal Development.

The general objective

• To analyse the influence of social media on society
• To identify the positive and dark sides of social media
• To recommend some measures for proper use of social media

Concept of Communication

According to Ajijola Isaac (2022) Communication is the transfer of ideas, opinion and information from one person to another. it is  dual in nature , on one hand is the speaker and on the other is the receiver.  Akande (2022) sees communication as a process of transferring information, ideas, knowledge, emotions, beliefs or perception from one person to another. Similarly Sheikh Shariq Vohra sees it as the process of sending information from one person to another. It is the act of sharing ideas, facts, opinions, thoughts, messages, or emotions to others, both inside and beyond the organization, through a channel to foster mutual understanding and trust.

Richard Nordquit (2021) Speech, or oral communication; writing and graphical representations (such as info graphics, maps, and charts); and signs, signals, and behavior are all examples of communication. Communication can be defined as “the formation and interchange of meaning.”

Concept of Social Media

According to Kietzmznn (2011) Social media are interactive digital channels that allow people to share information, ideas, and other kinds of expression through virtual communities and networks. Merriam-Webster (2019) described social media “Forms of electronic communication (such as websites for social networking and micro blogging) through which users create online communities to share information, ideas, personal messages, and other content (such as videos)”.It is also seen as “s group of Internet-based applications that build on the ideological and technological foundations of Web 2.0, and that allow the creation and exchange of User Generated Content”,(Kaplan & Haenlein, 2010; 61). “Social media uses mobile and web-based technology to build highly interactive platforms where people can share, co-create, discuss, and alter user-generated content.” Given the widespread coverage of social media in today’s news, it appears that we are in the midst of a completely new communication landscape.” (Kietzmann, et al, 2011; 241)

Ajijola (2022) posits that it is a portal that attracts so many internet users for the purpose of entertainment, dissemination of news, sending messages and other forms of expression through the media, and the mind behind this portal is a brilliant one who is ever innovative, always coming up with new ideas to keep the audience glued.

There are three types of media

• The ones people don’t notice
• The ones people go to once because of one juicy information
• And the ones that keep people glued to their screen because it has all the things to keep its audience occupied for example TikTok, Instagram, Facebook, Twitter e.t.c.

There is also an option of Mobile use of social media which entails the use of social media on mobile devices such as smart phones and tablet computers. Because the creation, exchange, and circulation of user-generated content can help organizations with marketing research, communication, and relationship development, mobile social media are important applications of mobile marketing. Mobile social media differs from other forms of social media in that it takes into account the user’s current location (location-sensitivity) as well as the time between sending and receiving messages. (Kaplan 2012)

Types of Social Media

• Social Networks: Facebook, Twitter, LinkedIn, Whatsapp
• Media Sharing Networks: Instagram, Snapchat, YouTube, TikTok
• Discussion Forums: Reddit, Quora, Digg
• Bookmarking & Content Creation Networks: Pinterest, Flipboard
• Consumer Review Networks: Yelp, Zomato, TripAdvisor
• Blogging & Publishing Networks: WordPress, Tumblr, Medium, Blogger
• Social Shopping Networks: Kara, JiJi, Jumia
• Interest-Based Networks: Goodreads, Houzz, Last.fm

THEORETICAL FRAMEWORK

Agenda Setting Theory

The agenda-setting theory of media, in contrast to the extreme views of the direct effects model, states that mass media define the topics that interest the public rather than the population’s views. According to this hypothesis, the problems that receive the greatest media coverage are the ones that the public debates, discusses, and demands action on. This implies that the media shapes public perceptions of topics and stories. As a result, when the media fails to discuss a topic, it becomes marginalized in the public’s perception (Hanson).

This theory is used by critics who claim that a particular media outlet has an agenda. Agendas can range from the spread of cutthroat capitalist ideals in films to a perceived liberal slant in the news media. The agenda-setting hypothesis, for example, explains occurrences like the growth of anti-smoking sentiment. Smoking was considered a personal health concern before the media took an anti-smoking position. The mass media made smoking a public health concern rather than a personal health issue by spreading antismoking emotions through commercials, public relations initiatives, and a variety of media channels (Dearing & Rogers, 1996).

Natural catastrophe coverage has become more prominent in the news recently. However, when news coverage decreases, public interest decreases. Media scholars who specialize in agenda-setting research look at an issue’s salience, or relative significance, and then try to figure out what makes it so. The relative importance of an issue affects its location on the public agenda, which influences the development of public policy. Agenda-setting study follows public policy from its inception as an agenda, through mass media promotion, and eventually to its final form as a law or policy (Dearing & Rogers, 1996).

Cultivation Analysis

According to the cultivation analysis hypothesis, persons who are exposed to a lot of media acquire an illusory sense of reality based on the medium’s most recurrent and consistent messages. Because of the pervasiveness and repetition of Social Media Network, this theory is most typically applied to its analysis. According to this hypothesis, someone who spends a lot of time on social media platforms may build an image of reality that isn’t accurate. Violent or Degrading comments and the popular fake lifestyle on these platforms, much exceed violence, degrading and fake lifestyle acts that most people witness in their everyday lives. As a result, someone who is always glued to their social media may come to believe that the world is more violent and dangerous than it really.

Cultivation analysis studies include a variety of study topics, including as the variations in perception between heavy and light media consumers. To use this theory, an individual’s usual media consumption must be examined for various sorts of messages. Then, researchers must analyze the cultural background of the particular media consumer in order to accurately establish additional aspects that are involved in his or her view of reality.

METHODS OF RESEARCHING MEDIA EFFECTS

There are various ways of researching Media Effect, they include  Content Analysis, Archival Research, Surveys, Social Role Analysis, Depth Interviews, Rhetorical Analysis, Focus Groups, Participant Observation and others.

These Methods are further spited into two for more clarifications

• 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.

The use of social media is prevalent among teenagers. A 2018 Pew Research Center study of roughly 750 13- to 17-year-olds revealed that 97% of them use social media sites like YouTube, Facebook, Instagram, and Snapchat, and that 45% of them spend practically all of their time online.

But what effect does teen use of social media have?

Social media benefits

Teenagers can develop social networks, engage with others, and construct online personas thanks to social media. Social networks can be a great resource for youth, especially for those who struggle with marginalization, impairments, or chronic diseases.

Teenagers also utilize social media for self-expression and entertainment. Additionally, the platforms can inform teenagers about current events, enable cross-border communication, and impart knowledge on a range of topics, including good habits. Teenagers may even benefit from using social media that is amusing, entertaining, or that offers a meaningful connection to peers and a large social network. Teenagers can develop social networks, engage with others, and construct online personas thanks to social media.

Social media harms

So far, kids’ usage of social media can also have a detrimental impact on them by diverting their attention, preventing them from sleeping, and exposing them to bullying, rumors, unrealistic expectations of other people’s lives, and peer pressure.

High levels of social media usage have been linked in studies to depression or anxiety symptoms. More frequent social media usage, nocturnal social media use, and emotional involvement in social media, such as being upset when you can’t log on, were all associated with poorer sleep quality and higher levels of anxiety and despair, according to a 2016 study of more than 450 teenagers.

The impact of social media among teenagers could also vary. A 2015 study discovered a connection between teen use of social media and cellphones for social comparison and feedback seeking and depressive symptoms. However, a tiny 2013 study discovered that the life satisfaction of older teenagers who used social media passively—for example, by only browsing others’ photos—declined. These declines didn’t affect people who utilized social media to communicate with others or upload their own content.

Experts contend that kids who post content on social media run the risk of disclosing intimate images or extremely personal stories due to their impulsive natures. Teenagers may experience bullying, harassment, or even blackmail as a result of this. Teenagers frequently post online without thinking about these repercussions or privacy issues.

Social Media’s Impact on Societal Issues

Social networking and social media play such a significant role in contemporary societal concerns that we witness today, such as the black lives matter protest, Missouri massacre, the End Sars Movement, #OccupyNigeria, #BringBackOurGirls, Sex for Grades, and the popular ALS Ice Bucket Challenge fundraising. With all of the societal challenges that we encounter in today’s society, social networking and social media assist in bringing all of the current concerns to our attention. According to current research, social networking sites (SNS) provide “a mechanism for individuals to communicate in any manner they think suitable with the online community” (Saini and Moon, 2013, p. 3).

The three most popular SNSs in today’s society are Facebook, Twitter, and Instagram, and they supply everyone of us with our general understanding of our present social difficulties. Facebook has ensured its long-term viability by evolving with the times (Saini and Moon, 2013). On a typical day, 15% of Facebook users post their own status on the platform (Hampton, Goulet, Rainie, & Purcell, 2011). Twitter has also grabbed our contemporary SNS users by storm by allowing many people to voice their problems and ideas about social issues in only 140 characters. Instagram has enabled its users to swiftly post images, instantaneously allowing all of its users to share photos that, often times, may add to the understanding of our social concerns more quickly in today’s culture rather than waiting for pictures from a major news article. Facebook, Twitter, and Instagram are all substantially responsible for raising social awareness and effecting change for all of our daily professional, personal, and public societal challenges.

• Facebook and Social Connections

Mark Zuckerbug founded Facebook in 2004 as a social networking tool for the Harvard community. Since then, it has grown to become one of the largest social networking sites, with over 400 million visitors per month. As the number of visitors on Facebook has increased, it has become a powerful tool for the organization and coordination of groups seeking social change. During the Arab Spring uprisings in Tunisia, one example may be observed. In 2008, there were less than 30,000 Tunisians on Facebook. There were nearly 2 million, or one-fifth of Tunisia’s population, at the time of the uprising in December 2010. During the revolt, protest footage, photos, and locations were uploaded to the internet. One Tunisian resident referred to Facebook as the “GPS for this revolution,” implying that it offered direction for the movement.

In 2012, Facebook group sites were established to mobilize Nigerians worldwide in opposition to the regime of gasoline subsidy elimination. One of these, titled “Nationwide Anti-Fuel Subsidy Removal: Strategies & Protests,” was founded on January 2, 2012, and had over 20,000 members by January 9, 2012. Student websites and blogs are reporting on the Occupy Nigeria events, and student delegates are giving live photographs of the continuing demonstrations.

• Twitter: The Power of the @ and hashtag(#)

There are several methods for communicating what is going on in our environment. Twitter is another famous social networking platform that has revolutionized the way many people interact. With a modest restriction on how much you may say, this website allows for rapid and ongoing contact. Individuals have 140 characters to publish in each distinct tweet, and with the capacity to do this frequently, information may be transmitted quickly to millions of people in a short amount of time.

Twitter was created in March 2006 by Evan Williams, Noah Glass, Jack Dorsey, and Biz Stone, all of whom had similar ideas about providing a free and speedy means to transmit messages to people all over the world.

Another example of the impact Twitter had on society can be seen by the #OccupyNigeria protest, it began on January 1, 2012, and Nigerians were greeted with a stunning start to the year when Nigeria’s former President, Dr. Goodluck Ebele Jonathan, announced the withdrawal of the gasoline subsidy. Following this news, the price of gasoline at the pump surged instantly from 65 to 141 cents per litre, and on the black market from 100 to 200 cents. The next day, the entire nation was stirred up, and Twitter’s #OccupyNigeria became a significant igniting point where grievance torches were kindled. The government responded by lowering the price of gasoline at the pump by 30%, bringing it down to 97 cents. Nigerians, like the renowned Oliver Twist, demanded more. Some saw the Occupy Nigeria protest as more than just a campaign for gasoline subsidies.

Another impact can be seen during the #BringBackOur Girls This is undoubtedly the most significant and well-known Nigerian fad that originated on Twitter. On the night of April 14, 2014, only 24 hours after the Abuja bombings, around 276 female students were forcibly removed from the Government Girls Secondary School in Chibok, Borno State. The terrorist organization Boko Haram claimed responsibility for their kidnapping. With the first hectic and frantic speed of the adventure, about 57 of them escaped from the vehicles, while the terrorists abducted 219 pupils. However, like the people of ancient times who ate and drank ignorant to the impending flood, the then-President, Dr. Goodluck Ebele Jonathan, was at a campaign rally in Kano, and subsequently, images of him at a birthday celebration in Ibadan were circulated on Twitter. Nigerians’ reactions were obviously filled with shock and fury at the government’s apparent insensitivity. Then followed a tweet ascribed to Oby Ezekwesili, former minister of education during the Olusegun Obasanjo government, by Ibrahim M. Abdullahi, a two-time Nigerian minister during the Obasanjo regime. In solidarity, world leaders like Wife of the Former American President Mitchell Obama, celebrities (Ellen DeGeneres of the The Ellen Show, Mary J. Blige and the host of others), and international organizations joined the movement. According to an investigation, the hashtag #BringBackOurGirls was tweeted in six languages, including English and Spanish. Don’t forget the First Lady, Dame Patience Jonathan’s, dramatic emotional collapse. As of October 2019, 107 females had been reported found, with 112 remaining missing. Five years later, the hunt is still ongoing, with many unsolved questions.

Another example s also the #ENDSARS movement, The Nigeria Police Force established the Special Anti-Robbery Squad (SARS) in 1992 as a crime-fighting organization. However, by 2017, there has been a steady stream of instances of brutality, extortion, high-handedness, and illegal arrests. What occurred on Twitter : The End Special Anti-Robbery Squad (#ENDSARS) movement, spearheaded by the famous Segun Awosanya (@segalink), began on Twitter in mid-2017, with calls for the government to abolish SARS. As Segun’segalink’ Awosanya gave a venue for individuals to voice their tales, an internet petition calling for the reform of the Nigeria Police was launched. There were significant effects as the government signed a number of legislation into law to assist combat the threat.

#SexForGrades At the month of October, the topic of rape and other types of sexual harassment moved from the holy grounds of the church to the citadels of learning in West African colleges. On October 7, 2019, BBC Africa Eye, the BBC’s investigative arm in Africa, aired an hour-long video documenting allegations of sexual harassment by academics at two West African institutions, the University of Lagos and the University of Ghana. The documentary’s impact, which implicated four academics at these universities, was felt immediately. The movie brought to light the ubiquitous threat of sexual harassment at most Nigerian campuses, and Nigerian Twitter erupted, with some claiming that the documentary was only the top of the iceberg. And the ramifications for the professors were virtually immediate.

Dr. Boniface, the pastor of Foursquare and #UNILAG, has been suspended from ministry until the outcome of an inquiry. #BBCAfricaEye #SexForGrades pic.twitter.com/sDcrYObo79

— Charlie Northcott (@CNorthcott1) Saturday, October 7, 2019

On November 16, 2019, the Nigerian Senate began work on a bill for an Act to prevent, ban, and remediate sexual harassment of students in tertiary educational institutions.

As Kietzmznn earlier identified social media as interactive digital channels that allow people to share information, ideas, and other kinds of expression through virtual communities and networks which include Whatsapp, Facebook, Youtube, Linkden, Jiji, Nairaland etc. Social networking and social media play such a significant role in contemporary societal concerns that we witness today, such as the Ferguson, Missouri massacre, the End Sars Movement, #OccupyNigeria, #BringBackOurGirls, Sex for Grades, and the popular ALS Ice Bucket Challenge fundraising. With all of the societal challenges that we encounter in today’s society, social networking and social media assist in bringing all of the current concerns to our attention. According to current research, social networking sites (SNS) provide “a mechanism for individuals to communicate in any manner they think suitable with the online community” (Saini and Moon, 2013, p. 3). The roles that were stated in this research has showed how much the social media has been doing on the path of social development.

RECOMMENDATION

• Instead of Government banning the use of social media like in the case of Nigeria with twitter, the government should find a way to work with the social media expert to make use of the trends to carry the youths along with the social development process.
• It is advisable for the youths that Although everyone have a reason to be online they should find and engage in more educative trends so they can be more useful to the society instead of using it to while away precious time.
• The programmers should find a way to restrict adult content to adults users by verifying the user’s identity.
• The programmers should also try to make the platform more social and educative.
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Essay on Role of Social Media

Students are often asked to write an essay on Role of Social Media in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Role of Social Media

Introduction.

Social media is a powerful tool in our modern world. It connects people globally, allowing us to share ideas, news, and personal updates.

Connecting People

Social media platforms like Facebook, Instagram, and Twitter connect us with friends and family. They help us stay informed about their lives.

Information and Awareness

Social media is a great source of news and updates. It helps raise awareness about social issues and events happening around the world.

Education and Learning

Social media can be educational. Many educators and experts share knowledge and resources, aiding in learning.

While social media has its drawbacks, its role in connecting people, spreading information, and aiding education is undeniable.

250 Words Essay on Role of Social Media

The advent of social media.

Social media, a revolutionary tool of the 21st century, has transformed the way we communicate, share information, and perceive the world. It has woven itself into the fabric of our daily lives, becoming an indispensable part of our society.

Communication and Information Dissemination

Social media platforms like Facebook, Twitter, and Instagram have made global communication seamless. They allow for instantaneous sharing of ideas, news, and personal experiences. This has democratized information, making it accessible to all, but also poses challenges regarding the spread of misinformation.

Social Activism and Awareness

Social media has become a powerful tool for social activism. Movements like #BlackLivesMatter and #MeToo have utilized these platforms to raise awareness, mobilize people, and effect change. However, the risk of ‘slacktivism’ – passive activism without real-world action – is a concern.

Marketing and Business Strategies

Businesses have leveraged social media for marketing, customer engagement, and brand visibility. They can interact directly with consumers, gather feedback, and tailor their strategies accordingly. The rise of influencer marketing is a testament to this new era of digital commerce.

The Double-Edged Sword

While social media has numerous benefits, it also has its drawbacks. Issues such as privacy breaches, cyberbullying, and the detrimental effects on mental health cannot be overlooked.

In conclusion, the role of social media in our lives is multifaceted. It has the potential to be a force for good, fostering global connections, social change, and business innovation. Yet, we must also be mindful of its pitfalls and strive to use it responsibly.

500 Words Essay on Role of Social Media

In the contemporary world, social media has become an integral part of our lives. It has transformed the way we communicate, interact, and perceive the world around us. This essay explores the role of social media, focusing on its impact on personal relationships, public discourse, and business.

Personal Relationships

Social media has drastically altered how we maintain and form relationships. It has enabled us to stay connected with loved ones, irrespective of geographical boundaries. We can share our experiences, milestones, and everyday moments, fostering a sense of closeness. However, this digital connection also has its pitfalls. It can lead to an over-reliance on virtual interactions, potentially undermining the value of face-to-face communication. Moreover, the constant comparison with others’ curated lives can lead to feelings of inadequacy and anxiety.

Public Discourse

Social media has democratized information dissemination, changing the dynamics of public discourse. It has given a platform to voices that were previously marginalized, leading to greater inclusivity. Social movements like #BlackLivesMatter and #MeToo have been amplified through social media, leading to significant societal change. However, this freedom also comes with the risk of misinformation and fake news, which can polarize societies and disrupt democratic processes.

Business and Marketing

In the business world, social media has revolutionized marketing strategies. Businesses can now directly engage with their customers, understand their needs, and tailor their services accordingly. It also provides a cost-effective platform for advertising and brand promotion. However, the use of personal data for targeted advertising raises ethical concerns about privacy and consent.

Social media has also played a pivotal role in education, especially during the COVID-19 pandemic. It has facilitated remote learning, enabling students and teachers to stay connected. It also provides a platform for collaborative learning and knowledge sharing. However, the digital divide and the risk of cyberbullying are significant challenges that need to be addressed.

In conclusion, social media, with its profound impact on personal relationships, public discourse, business, and education, has undeniably reshaped our world. Its role is multifaceted and complex, offering both opportunities and challenges. As digital citizens, it is incumbent upon us to navigate this landscape responsibly, leveraging its potential while being mindful of its pitfalls. The future of social media is dynamic and evolving, reflecting our collective aspirations and challenges as a society. As we move forward, it is crucial to foster a balanced and informed approach to social media use, ensuring it serves as a tool for positive change.

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The Role of Media in Socialization Essay

The acquisition of one’s social skills in the present-day world is complicated by numerous stereotypes. From the perspective of symbolic interactionism, this process implies the creation of subjective meaning under the influence of media, which does not correspond to reality. This mechanism is illustrated by the film “Tough Guise 2,” in which any kind of virtue attributed to male citizens is replaced with perceived masculinity.

The interdependency of media and people’s views on men and women in socialization can also be described by functionalism. According to this doctrine, the stereotypes add to people’s desire to ensure the stability of their lives, whereas their credibility is disregarded. For example, the idea of youth, beauty, and sexuality ascribed solely to females undermines the efforts of their male counterparts to demonstrate these qualities.

In turn, this tendency is explained by ethnocentrism applicable to the differences between them emphasized by media. The support of this idea implies evaluating others through the lens of adopted misconceptions, and it helps understands the violence of men towards women. The former cannot form an adequate attitude towards the latter due to the learned stereotypes, and the only option for them is direct hostility.

The effects of media can also be seen in these events since they originate from the lack of resources as per the conflict theory. It is obvious that all people cannot have equal conditions, for example, at work. Meanwhile, spreading the information regarding the differences in the levels of pay contributes to the problem regarding the socialization of girls and boys growing up in this environment.

Finally, the issues emerging from the lack of understanding between men and women are worsened by the media through demonstrating the improper social norms which are adopted by them. As per the theory of sanctions, they evoke the desire in people to enforce compliance with these principles. The failure to do so is viewed as a threat, and male violence can be partially explained by this phenomenon.

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Effects of Social Media Use on Psychological Well-Being: A Mediated Model

Dragana ostic.

1 School of Finance and Economics, Jiangsu University, Zhenjiang, China

Sikandar Ali Qalati

Belem barbosa.

2 Research Unit of Governance, Competitiveness, and Public Policies (GOVCOPP), Center for Economics and Finance (cef.up), School of Economics and Management, University of Porto, Porto, Portugal

Syed Mir Muhammad Shah

3 Department of Business Administration, Sukkur Institute of Business Administration (IBA) University, Sukkur, Pakistan

Esthela Galvan Vela

4 CETYS Universidad, Tijuana, Mexico

Ahmed Muhammad Herzallah

5 Department of Business Administration, Al-Quds University, Jerusalem, Israel

6 Business School, Shandong University, Weihai, China

Associated Data

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

The growth in social media use has given rise to concerns about the impacts it may have on users' psychological well-being. This paper's main objective is to shed light on the effect of social media use on psychological well-being. Building on contributions from various fields in the literature, it provides a more comprehensive study of the phenomenon by considering a set of mediators, including social capital types (i.e., bonding social capital and bridging social capital), social isolation, and smartphone addiction. The paper includes a quantitative study of 940 social media users from Mexico, using structural equation modeling (SEM) to test the proposed hypotheses. The findings point to an overall positive indirect impact of social media usage on psychological well-being, mainly due to the positive effect of bonding and bridging social capital. The empirical model's explanatory power is 45.1%. This paper provides empirical evidence and robust statistical analysis that demonstrates both positive and negative effects coexist, helping to reconcile the inconsistencies found so far in the literature.

Introduction

The use of social media has grown substantially in recent years (Leong et al., 2019 ; Kemp, 2020 ). Social media refers to “the websites and online tools that facilitate interactions between users by providing them opportunities to share information, opinions, and interest” (Swar and Hameed, 2017 , p. 141). Individuals use social media for many reasons, including entertainment, communication, and searching for information. Notably, adolescents and young adults are spending an increasing amount of time on online networking sites, e-games, texting, and other social media (Twenge and Campbell, 2019 ). In fact, some authors (e.g., Dhir et al., 2018 ; Tateno et al., 2019 ) have suggested that social media has altered the forms of group interaction and its users' individual and collective behavior around the world.

Consequently, there are increased concerns regarding the possible negative impacts associated with social media usage addiction (Swar and Hameed, 2017 ; Kircaburun et al., 2020 ), particularly on psychological well-being (Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ). Smartphones sometimes distract their users from relationships and social interaction (Chotpitayasunondh and Douglas, 2016 ; Li et al., 2020a ), and several authors have stressed that the excessive use of social media may lead to smartphone addiction (Swar and Hameed, 2017 ; Leong et al., 2019 ), primarily because of the fear of missing out (Reer et al., 2019 ; Roberts and David, 2020 ). Social media usage has been associated with anxiety, loneliness, and depression (Dhir et al., 2018 ; Reer et al., 2019 ), social isolation (Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ), and “phubbing,” which refers to the extent to which an individual uses, or is distracted by, their smartphone during face-to-face communication with others (Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ).

However, social media use also contributes to building a sense of connectedness with relevant others (Twenge and Campbell, 2019 ), which may reduce social isolation. Indeed, social media provides several ways to interact both with close ties, such as family, friends, and relatives, and weak ties, including coworkers, acquaintances, and strangers (Chen and Li, 2017 ), and plays a key role among people of all ages as they exploit their sense of belonging in different communities (Roberts and David, 2020 ). Consequently, despite the fears regarding the possible negative impacts of social media usage on well-being, there is also an increasing number of studies highlighting social media as a new communication channel (Twenge and Campbell, 2019 ; Barbosa et al., 2020 ), stressing that it can play a crucial role in developing one's presence, identity, and reputation, thus facilitating social interaction, forming and maintaining relationships, and sharing ideas (Carlson et al., 2016 ), which consequently may be significantly correlated to social support (Chen and Li, 2017 ; Holliman et al., 2021 ). Interestingly, recent studies (e.g., David et al., 2018 ; Bano et al., 2019 ; Barbosa et al., 2020 ) have suggested that the impact of smartphone usage on psychological well-being depends on the time spent on each type of application and the activities that users engage in.

Hence, the literature provides contradictory cues regarding the impacts of social media on users' well-being, highlighting both the possible negative impacts and the social enhancement it can potentially provide. In line with views on the need to further investigate social media usage (Karikari et al., 2017 ), particularly regarding its societal implications (Jiao et al., 2017 ), this paper argues that there is an urgent need to further understand the impact of the time spent on social media on users' psychological well-being, namely by considering other variables that mediate and further explain this effect.

One of the relevant perspectives worth considering is that provided by social capital theory, which is adopted in this paper. Social capital theory has previously been used to study how social media usage affects psychological well-being (e.g., Bano et al., 2019 ). However, extant literature has so far presented only partial models of associations that, although statistically acceptable and contributing to the understanding of the scope of social networks, do not provide as comprehensive a vision of the phenomenon as that proposed within this paper. Furthermore, the contradictory views, suggesting both negative (e.g., Chotpitayasunondh and Douglas, 2016 ; Van Den Eijnden et al., 2016 ; Jiao et al., 2017 ; Whaite et al., 2018 ; Choi and Noh, 2019 ; Chatterjee, 2020 ) and positive impacts (Carlson et al., 2016 ; Chen and Li, 2017 ; Twenge and Campbell, 2019 ) of social media on psychological well-being, have not been adequately explored.

Given this research gap, this paper's main objective is to shed light on the effect of social media use on psychological well-being. As explained in detail in the next section, this paper explores the mediating effect of bonding and bridging social capital. To provide a broad view of the phenomenon, it also considers several variables highlighted in the literature as affecting the relationship between social media usage and psychological well-being, namely smartphone addiction, social isolation, and phubbing. The paper utilizes a quantitative study conducted in Mexico, comprising 940 social media users, and uses structural equation modeling (SEM) to test a set of research hypotheses.

This article provides several contributions. First, it adds to existing literature regarding the effect of social media use on psychological well-being and explores the contradictory indications provided by different approaches. Second, it proposes a conceptual model that integrates complementary perspectives on the direct and indirect effects of social media use. Third, it offers empirical evidence and robust statistical analysis that demonstrates that both positive and negative effects coexist, helping resolve the inconsistencies found so far in the literature. Finally, this paper provides insights on how to help reduce the potential negative effects of social media use, as it demonstrates that, through bridging and bonding social capital, social media usage positively impacts psychological well-being. Overall, the article offers valuable insights for academics, practitioners, and society in general.

The remainder of this paper is organized as follows. Section Literature Review presents a literature review focusing on the factors that explain the impact of social media usage on psychological well-being. Based on the literature review, a set of hypotheses are defined, resulting in the proposed conceptual model, which includes both the direct and indirect effects of social media usage on psychological well-being. Section Research Methodology explains the methodological procedures of the research, followed by the presentation and discussion of the study's results in section Results. Section Discussion is dedicated to the conclusions and includes implications, limitations, and suggestions for future research.

Literature Review

Putnam ( 1995 , p. 664–665) defined social capital as “features of social life – networks, norms, and trust – that enable participants to act together more effectively to pursue shared objectives.” Li and Chen ( 2014 , p. 117) further explained that social capital encompasses “resources embedded in one's social network, which can be assessed and used for instrumental or expressive returns such as mutual support, reciprocity, and cooperation.”

Putnam ( 1995 , 2000 ) conceptualized social capital as comprising two dimensions, bridging and bonding, considering the different norms and networks in which they occur. Bridging social capital refers to the inclusive nature of social interaction and occurs when individuals from different origins establish connections through social networks. Hence, bridging social capital is typically provided by heterogeneous weak ties (Li and Chen, 2014 ). This dimension widens individual social horizons and perspectives and provides extended access to resources and information. Bonding social capital refers to the social and emotional support each individual receives from his or her social networks, particularly from close ties (e.g., family and friends).

Overall, social capital is expected to be positively associated with psychological well-being (Bano et al., 2019 ). Indeed, Williams ( 2006 ) stressed that interaction generates affective connections, resulting in positive impacts, such as emotional support. The following sub-sections use the lens of social capital theory to explore further the relationship between the use of social media and psychological well-being.

Social Media Use, Social Capital, and Psychological Well-Being

The effects of social media usage on social capital have gained increasing scholarly attention, and recent studies have highlighted a positive relationship between social media use and social capital (Brown and Michinov, 2019 ; Tefertiller et al., 2020 ). Li and Chen ( 2014 ) hypothesized that the intensity of Facebook use by Chinese international students in the United States was positively related to social capital forms. A longitudinal survey based on the quota sampling approach illustrated the positive effects of social media use on the two social capital dimensions (Chen and Li, 2017 ). Abbas and Mesch ( 2018 ) argued that, as Facebook usage increases, it will also increase users' social capital. Karikari et al. ( 2017 ) also found positive effects of social media use on social capital. Similarly, Pang ( 2018 ) studied Chinese students residing in Germany and found positive effects of social networking sites' use on social capital, which, in turn, was positively associated with psychological well-being. Bano et al. ( 2019 ) analyzed the 266 students' data and found positive effects of WhatsApp use on social capital forms and the positive effect of social capital on psychological well-being, emphasizing the role of social integration in mediating this positive effect.

Kim and Kim ( 2017 ) stressed the importance of having a heterogeneous network of contacts, which ultimately enhances the potential social capital. Overall, the manifest and social relations between people from close social circles (bonding social capital) and from distant social circles (bridging social capital) are strengthened when they promote communication, social support, and the sharing of interests, knowledge, and skills, which are shared with other members. This is linked to positive effects on interactions, such as acceptance, trust, and reciprocity, which are related to the individuals' health and psychological well-being (Bekalu et al., 2019 ), including when social media helps to maintain social capital between social circles that exist outside of virtual communities (Ellison et al., 2007 ).

Grounded on the above literature, this study proposes the following hypotheses:

• H1a: Social media use is positively associated with bonding social capital.
• H1b: Bonding social capital is positively associated with psychological well-being.
• H2a: Social media use is positively associated with bridging social capital.
• H2b: Bridging social capital is positively associated with psychological well-being.

Social Media Use, Social Isolation, and Psychological Well-Being

Social isolation is defined as “a deficit of personal relationships or being excluded from social networks” (Choi and Noh, 2019 , p. 4). The state that occurs when an individual lacks true engagement with others, a sense of social belonging, and a satisfying relationship is related to increased mortality and morbidity (Primack et al., 2017 ). Those who experience social isolation are deprived of social relationships and lack contact with others or involvement in social activities (Schinka et al., 2012 ). Social media usage has been associated with anxiety, loneliness, and depression (Dhir et al., 2018 ; Reer et al., 2019 ), and social isolation (Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ). However, some recent studies have argued that social media use decreases social isolation (Primack et al., 2017 ; Meshi et al., 2020 ). Indeed, the increased use of social media platforms such as Facebook, WhatsApp, Instagram, and Twitter, among others, may provide opportunities for decreasing social isolation. For instance, the improved interpersonal connectivity achieved via videos and images on social media helps users evidence intimacy, attenuating social isolation (Whaite et al., 2018 ).

Chappell and Badger ( 1989 ) stated that social isolation leads to decreased psychological well-being, while Choi and Noh ( 2019 ) concluded that greater social isolation is linked to increased suicide risk. Schinka et al. ( 2012 ) further argued that, when individuals experience social isolation from siblings, friends, family, or society, their psychological well-being tends to decrease. Thus, based on the literature cited above, this study proposes the following hypotheses:

• H3a: Social media use is significantly associated with social isolation.
• H3b: Social isolation is negatively associated with psychological well-being.

Social Media Use, Smartphone Addiction, Phubbing, and Psychological Well-Being

Smartphone addiction refers to “an individuals' excessive use of a smartphone and its negative effects on his/her life as a result of his/her inability to control his behavior” (Gökçearslan et al., 2018 , p. 48). Regardless of its form, smartphone addiction results in social, medical, and psychological harm to people by limiting their ability to make their own choices (Chotpitayasunondh and Douglas, 2016 ). The rapid advancement of information and communication technologies has led to the concept of social media, e-games, and also to smartphone addiction (Chatterjee, 2020 ). The excessive use of smartphones for social media use, entertainment (watching videos, listening to music), and playing e-games is more common amongst people addicted to smartphones (Jeong et al., 2016 ). In fact, previous studies have evidenced the relationship between social use and smartphone addiction (Salehan and Negahban, 2013 ; Jeong et al., 2016 ; Swar and Hameed, 2017 ). In line with this, the following hypotheses are proposed:

• H4a: Social media use is positively associated with smartphone addiction.
• H4b: Smartphone addiction is negatively associated with psychological well-being.

While smartphones are bringing individuals closer, they are also, to some extent, pulling people apart (Tonacci et al., 2019 ). For instance, they can lead to individuals ignoring others with whom they have close ties or physical interactions; this situation normally occurs due to extreme smartphone use (i.e., at the dinner table, in meetings, at get-togethers and parties, and in other daily activities). This act of ignoring others is called phubbing and is considered a common phenomenon in communication activities (Guazzini et al., 2019 ; Chatterjee, 2020 ). Phubbing is also referred to as an act of snubbing others (Chatterjee, 2020 ). This term was initially used in May 2012 by an Australian advertising agency to describe the “growing phenomenon of individuals ignoring their families and friends who were called phubbee (a person who is a recipients of phubbing behavior) victim of phubber (a person who start phubbing her or his companion)” (Chotpitayasunondh and Douglas, 2018 ). Smartphone addiction has been found to be a determinant of phubbing (Kim et al., 2018 ). Other recent studies have also evidenced the association between smartphones and phubbing (Chotpitayasunondh and Douglas, 2016 ; Guazzini et al., 2019 ; Tonacci et al., 2019 ; Chatterjee, 2020 ). Vallespín et al. ( 2017 ) argued that phubbing behavior has a negative influence on psychological well-being and satisfaction. Furthermore, smartphone addiction is considered responsible for the development of new technologies. It may also negatively influence individual's psychological proximity (Chatterjee, 2020 ). Therefore, based on the above discussion and calls for the association between phubbing and psychological well-being to be further explored, this study proposes the following hypotheses:

• H5: Smartphone addiction is positively associated with phubbing.
• H6: Phubbing is negatively associated with psychological well-being.

Indirect Relationship Between Social Media Use and Psychological Well-Being

Beyond the direct hypotheses proposed above, this study investigates the indirect effects of social media use on psychological well-being mediated by social capital forms, social isolation, and phubbing. As described above, most prior studies have focused on the direct influence of social media use on social capital forms, social isolation, smartphone addiction, and phubbing, as well as the direct impact of social capital forms, social isolation, smartphone addiction, and phubbing on psychological well-being. Very few studies, however, have focused on and evidenced the mediating role of social capital forms, social isolation, smartphone addiction, and phubbing derived from social media use in improving psychological well-being (Chen and Li, 2017 ; Pang, 2018 ; Bano et al., 2019 ; Choi and Noh, 2019 ). Moreover, little is known about smartphone addiction's mediating role between social media use and psychological well-being. Therefore, this study aims to fill this gap in the existing literature by investigating the mediation of social capital forms, social isolation, and smartphone addiction. Further, examining the mediating influence will contribute to a more comprehensive understanding of social media use on psychological well-being via the mediating associations of smartphone addiction and psychological factors. Therefore, based on the above, we propose the following hypotheses (the conceptual model is presented in Figure 1 ):

Conceptual model.

• H7: (a) Bonding social capital; (b) bridging social capital; (c) social isolation; and (d) smartphone addiction mediate the relationship between social media use and psychological well-being.

Research Methodology

Sample procedure and online survey.

This study randomly selected students from universities in Mexico. We chose University students for the following reasons. First, students are considered the most appropriate sample for e-commerce studies, particularly in the social media context (Oghazi et al., 2018 ; Shi et al., 2018 ). Second, University students are considered to be frequent users and addicted to smartphones (Mou et al., 2017 ; Stouthuysen et al., 2018 ). Third, this study ensured that respondents were experienced, well-educated, and possessed sufficient knowledge of the drawbacks of social media and the extreme use of smartphones. A total sample size of 940 University students was ultimately achieved from the 1,500 students contacted, using a convenience random sampling approach, due both to the COVID-19 pandemic and budget and time constraints. Additionally, in order to test the model, a quantitative empirical study was conducted, using an online survey method to collect data. This study used a web-based survey distributed via social media platforms for two reasons: the COVID-19 pandemic; and to reach a large number of respondents (Qalati et al., 2021 ). Furthermore, online surveys are considered a powerful and authenticated tool for new research (Fan et al., 2021 ), while also representing a fast, simple, and less costly approach to collecting data (Dutot and Bergeron, 2016 ).

Data Collection Procedures and Respondent's Information

Data were collected by disseminating a link to the survey by e-mail and social network sites. Before presenting the closed-ended questionnaire, respondents were assured that their participation would remain voluntary, confidential, and anonymous. Data collection occurred from July 2020 to December 2020 (during the pandemic). It should be noted that, because data were collected during the pandemic, this may have had an influence on the results of the study. The reason for choosing a six-month lag time was to mitigate common method bias (CMB) (Li et al., 2020b ). In the present study, 1,500 students were contacted via University e-mail and social applications (Facebook, WhatsApp, and Instagram). We sent a reminder every month for 6 months (a total of six reminders), resulting in 940 valid responses. Thus, 940 (62.6% response rate) responses were used for hypotheses testing.

Table 1 reveals that, of the 940 participants, three-quarters were female (76.4%, n = 719) and nearly one-quarter (23.6%, n = 221) were male. Nearly half of the participants (48.8%, n = 459) were aged between 26 and 35 years, followed by 36 to 35 years (21.9%, n = 206), <26 (20.3%, n = 191), and over 45 (8.9%, n = 84). Approximately two-thirds (65%, n = 611) had a bachelor's degree or above, while one-third had up to 12 years of education. Regarding the daily frequency of using the Internet, nearly half (48.6%, n = 457) of the respondents reported between 5 and 8 h a day, and over one-quarter (27.2%) 9–12 h a day. Regarding the social media platforms used, over 38.5 and 39.6% reported Facebook and WhatsApp, respectively. Of the 940 respondents, only 22.1% reported Instagram (12.8%) and Twitter (9.2%). It should be noted, however, that the sample is predominantly female and well-educated.

Respondents' characteristics.

Measurement Items

The study used five-point Likert scales (1 = “strongly disagree;” 5 = “strongly agree”) to record responses.

Social Media Use

Social media use was assessed using four items adapted from Karikari et al. ( 2017 ). Sample items include “Social media is part of my everyday activity,” “Social media has become part of my daily life,” “I would be sorry if social media shut down,” and “I feel out of touch, when I have not logged onto social media for a while.” The adapted items had robust reliability and validity (CA = 783, CR = 0.857, AVE = 0.600).

Social Capital

Social capital was measured using a total of eight items, representing bonding social capital (four items) and bridging social capital (four items) adapted from Chan ( 2015 ). Sample construct items include: bonging social capital (“I am willing to spend time to support general community activities,” “I interact with people who are quite different from me”) and bridging social capital (“My social media community is a good place to be,” “Interacting with people on social media makes me want to try new things”). The adapted items had robust reliability and validity [bonding social capital (CA = 0.785, CR = 0.861, AVE = 0.608) and bridging social capital (CA = 0.834, CR = 0.883, AVE = 0.601)].

Social Isolation

Social isolation was assessed using three items from Choi and Noh ( 2019 ). Sample items include “I do not have anyone to play with,” “I feel alone from people,” and “I have no one I can trust.” This adapted scale had substantial reliability and validity (CA = 0.890, CR = 0.928, AVE = 0.811).

Smartphone Addiction

Smartphone addiction was assessed using five items taken from Salehan and Negahban ( 2013 ). Sample items include “I am always preoccupied with my mobile,” “Using my mobile phone keeps me relaxed,” and “I am not able to control myself from frequent use of mobile phones.” Again, these adapted items showed substantial reliability and validity (CA = 903, CR = 0.928, AVE = 0.809).

Phubbing was assessed using four items from Chotpitayasunondh and Douglas ( 2018 ). Sample items include: “I have conflicts with others because I am using my phone” and “I would rather pay attention to my phone than talk to others.” This construct also demonstrated significant reliability and validity (CA = 770, CR = 0.894, AVE = 0.809).

Psychological Well-Being

Psychological well-being was assessed using five items from Jiao et al. ( 2017 ). Sample items include “I lead a purposeful and meaningful life with the help of others,” “My social relationships are supportive and rewarding in social media,” and “I am engaged and interested in my daily on social media.” This study evidenced that this adapted scale had substantial reliability and validity (CA = 0.886, CR = 0.917, AVE = 0.688).

Data Analysis

Based on the complexity of the association between the proposed construct and the widespread use and acceptance of SmartPLS 3.0 in several fields (Hair et al., 2019 ), we utilized SEM, using SmartPLS 3.0, to examine the relationships between constructs. Structural equation modeling is a multivariate statistical analysis technique that is used to investigate relationships. Further, it is a combination of factor and multivariate regression analysis, and is employed to explore the relationship between observed and latent constructs.

SmartPLS 3.0 “is a more comprehensive software program with an intuitive graphical user interface to run partial least square SEM analysis, certainly has had a massive impact” (Sarstedt and Cheah, 2019 ). According to Ringle et al. ( 2015 ), this commercial software offers a wide range of algorithmic and modeling options, improved usability, and user-friendly and professional support. Furthermore, Sarstedt and Cheah ( 2019 ) suggested that structural equation models enable the specification of complex interrelationships between observed and latent constructs. Hair et al. ( 2019 ) argued that, in recent years, the number of articles published using partial least squares SEM has increased significantly in contrast to covariance-based SEM. In addition, partial least squares SEM using SmartPLS is more appealing for several scholars as it enables them to predict more complex models with several variables, indicator constructs, and structural paths, instead of imposing distributional assumptions on the data (Hair et al., 2019 ). Therefore, this study utilized the partial least squares SEM approach using SmartPLS 3.0.

Common Method Bias (CMB) Test

This study used the Kaiser–Meyer–Olkin (KMO) test to measure the sampling adequacy and ensure data suitability. The KMO test result was 0.874, which is greater than an acceptable threshold of 0.50 (Ali Qalati et al., 2021 ; Shrestha, 2021 ), and hence considered suitable for explanatory factor analysis. Moreover, Bartlett's test results demonstrated a significance level of 0.001, which is considered good as it is below the accepted threshold of 0.05.

The term CMB is associated with Campbell and Fiske ( 1959 ), who highlighted the importance of CMB and identified that a portion of variance in the research may be due to the methods employed. It occurs when all scales of the study are measured at the same time using a single questionnaire survey (Podsakoff and Organ, 1986 ); subsequently, estimates of the relationship among the variables might be distorted by the impacts of CMB. It is considered a serious issue that has a potential to “jeopardize” the validity of the study findings (Tehseen et al., 2017 ). There are several reasons for CMB: (1) it mainly occurs due to response “tendencies that raters can apply uniformity across the measures;” and (2) it also occurs due to similarities in the wording and structure of the survey items that produce similar results (Jordan and Troth, 2019 ). Harman's single factor test and a full collinearity approach were employed to ensure that the data was free from CMB (Tehseen et al., 2017 ; Jordan and Troth, 2019 ; Ali Qalati et al., 2021 ). Harman's single factor test showed a single factor explained only 22.8% of the total variance, which is far below the 50.0% acceptable threshold (Podsakoff et al., 2003 ).

Additionally, the variance inflation factor (VIF) was used, which is a measure of the amount of multicollinearity in a set of multiple regression constructs and also considered a way of detecting CMB (Hair et al., 2019 ). Hair et al. ( 2019 ) suggested that the acceptable threshold for the VIF is 3.0; as the computed VIFs for the present study ranged from 1.189 to 1.626, CMB is not a key concern (see Table 2 ). Bagozzi et al. ( 1991 ) suggested a correlation-matrix procedure to detect CMB. Common method bias is evident if correlation among the principle constructs is >0.9 (Tehseen et al., 2020 ); however, no values >0.9 were found in this study (see section Assessment of Measurement Model). This study used a two-step approach to evaluate the measurement model and the structural model.

Common method bias (full collinearity VIF).

Assessment of Measurement Model

Before conducting the SEM analysis, the measurement model was assessed to examine individual item reliability, internal consistency, and convergent and discriminant validity. Table 3 exhibits the values of outer loading used to measure an individual item's reliability (Hair et al., 2012 ). Hair et al. ( 2017 ) proposed that the value for each outer loading should be ≥0.7; following this principle, two items of phubbing (PHUB3—I get irritated if others ask me to get off my phone and talk to them; PHUB4—I use my phone even though I know it irritated others) were removed from the analysis Hair et al. ( 2019 ). According to Nunnally ( 1978 ), Cronbach's alpha values should exceed 0.7. The threshold values of constructs in this study ranged from 0.77 to 0.903. Regarding internal consistency, Bagozzi and Yi ( 1988 ) suggested that composite reliability (CR) should be ≥0.7. The coefficient value for CR in this study was between 0.857 and 0.928. Regarding convergent validity, Fornell and Larcker ( 1981 ) suggested that the average variance extracted (AVE) should be ≥0.5. Average variance extracted values in this study were between 0.60 and 0.811. Finally, regarding discriminant validity, according to Fornell and Larcker ( 1981 ), the square root of the AVE for each construct should exceed the inter-correlations of the construct with other model constructs. That was the case in this study, as shown in Table 4 .

Study measures, factor loading, and the constructs' reliability and convergent validity.

Discriminant validity and correlation.

Bold values are the square root of the AVE .

Hence, by analyzing the results of the measurement model, it can be concluded that the data are adequate for structural equation estimation.

Assessment of the Structural Model

This study used the PLS algorithm and a bootstrapping technique with 5,000 bootstraps as proposed by Hair et al. ( 2019 ) to generate the path coefficient values and their level of significance. The coefficient of determination ( R 2 ) is an important measure to assess the structural model and its explanatory power (Henseler et al., 2009 ; Hair et al., 2019 ). Table 5 and Figure 2 reveal that the R 2 value in the present study was 0.451 for psychological well-being, which means that 45.1% of changes in psychological well-being occurred due to social media use, social capital forms (i.e., bonding and bridging), social isolation, smartphone addiction, and phubbing. Cohen ( 1998 ) proposed that R 2 values of 0.60, 0.33, and 0.19 are considered substantial, moderate, and weak. Following Cohen's ( 1998 ) threshold values, this research demonstrates a moderate predicting power for psychological well-being among Mexican respondents ( Table 6 ).

Summary of path coefficients and hypothesis testing.

Structural model.

Strength of the model (Predictive relevance, coefficient of determination, and model fit indices).

Goodness of fit → SRMR = 0.063; d_ULS = 1.589; d_G = 0.512; chi-square = 2,910.744 .

Apart from the R 2 measure, the present study also used cross-validated redundancy measures, or effect sizes ( q 2 ), to assess the proposed model and validate the results (Ringle et al., 2012 ). Hair et al. ( 2019 ) suggested that a model exhibiting an effect size q 2 > 0 has predictive relevance ( Table 6 ). This study's results evidenced that it has a 0.15 <0.29 <0.35 (medium) predictive relevance, as 0.02, 0.15, and 0.35 are considered small, medium, and large, respectively (Cohen, 1998 ). Regarding the goodness-of-fit indices, Hair et al. ( 2019 ) suggested the standardized root mean square residual (SRMR) to evaluate the goodness of fit. Standardized root mean square is an absolute measure of fit: a value of zero indicates perfect fit and a value <0.08 is considered good fit (Hair et al., 2019 ). This study exhibits an adequate model fitness level with an SRMR value of 0.063 ( Table 6 ).

Table 5 reveals that all hypotheses of the study were accepted base on the criterion ( p -value < 0.05). H1a (β = 0.332, t = 10.283, p = 0.001) was confirmed, with the second most robust positive and significant relationship (between social media use and bonding social capital). In addition, this study evidenced a positive and significant relationship between bonding social capital and psychological well-being (β = 0.127, t = 4.077, p = 0.001); therefore, H1b was accepted. Regarding social media use and bridging social capital, the present study found the most robust positive and significant impact (β = 0.439, t = 15.543, p = 0.001); therefore, H2a was accepted. The study also evidenced a positive and significant association between bridging social capital and psychological well-being (β = 0.561, t = 20.953, p = 0.001); thus, H2b was accepted. The present study evidenced a significant effect of social media use on social isolation (β = 0.145, t = 4.985, p = 0.001); thus, H3a was accepted. In addition, this study accepted H3b (β = −0.051, t = 2.01, p = 0.044). Furthermore, this study evidenced a positive and significant effect of social media use on smartphone addiction (β = 0.223, t = 6.241, p = 0.001); therefore, H4a was accepted. Furthermore, the present study found that smartphone addiction has a negative significant influence on psychological well-being (β = −0.068, t = 2.387, p = 0.017); therefore, H4b was accepted. Regarding the relationship between smartphone addiction and phubbing, this study found a positive and significant effect of smartphone addiction on phubbing (β = 0.244, t = 7.555, p = 0.001); therefore, H5 was accepted. Furthermore, the present research evidenced a positive and significant influence of phubbing on psychological well-being (β = 0.137, t = 4.938, p = 0.001); therefore, H6 was accepted. Finally, the study provides interesting findings on the indirect effect of social media use on psychological well-being ( t -value > 1.96 and p -value < 0.05); therefore, H7a–d were accepted.

Furthermore, to test the mediating analysis, Preacher and Hayes's ( 2008 ) approach was used. The key characteristic of an indirect relationship is that it involves a third construct, which plays a mediating role in the relationship between the independent and dependent constructs. Logically, the effect of A (independent construct) on C (the dependent construct) is mediated by B (a third variable). Preacher and Hayes ( 2008 ) suggested the following: B is a construct acting as a mediator if A significantly influences B, A significantly accounts for variability in C, B significantly influences C when controlling for A, and the influence of A on C decreases significantly when B is added simultaneously with A as a predictor of C. According to Matthews et al. ( 2018 ), if the indirect effect is significant while the direct insignificant, full mediation has occurred, while if both direct and indirect effects are substantial, partial mediation has occurred. This study evidenced that there is partial mediation in the proposed construct ( Table 5 ). Following Preacher and Hayes ( 2008 ) this study evidenced that there is partial mediation in the proposed construct, because the relationship between independent variable (social media use) and dependent variable (psychological well-being) is significant ( p -value < 0.05) and indirect effect among them after introducing mediator (bonding social capital, bridging social capital, social isolation, and smartphone addiction) is also significant ( p -value < 0.05), therefore it is evidenced that when there is a significant effect both direct and indirect it's called partial mediation.

The present study reveals that the social and psychological impacts of social media use among University students is becoming more complex as there is continuing advancement in technology, offering a range of affordable interaction opportunities. Based on the 940 valid responses collected, all the hypotheses were accepted ( p < 0.05).

H1a finding suggests that social media use is a significant influencing factor of bonding social capital. This implies that, during a pandemic, social media use enables students to continue their close relationships with family members, friends, and those with whom they have close ties. This finding is in line with prior work of Chan ( 2015 ) and Ellison et al. ( 2007 ), who evidenced that social bonding capital is predicted by Facebook use and having a mobile phone. H1b findings suggest that, when individuals believe that social communication can help overcome obstacles to interaction and encourage more virtual self-disclosure, social media use can improve trust and promote the establishment of social associations, thereby enhancing well-being. These findings are in line with those of Gong et al. ( 2021 ), who also witnessed the significant effect of bonding social capital on immigrants' psychological well-being, subsequently calling for the further evidence to confirm the proposed relationship.

The findings of the present study related to H2a suggest that students are more likely to use social media platforms to receive more emotional support, increase their ability to mobilize others, and to build social networks, which leads to social belongingness. Furthermore, the findings suggest that social media platforms enable students to accumulate and maintain bridging social capital; further, online classes can benefit students who feel shy when participating in offline classes. This study supports the previous findings of Chan ( 2015 ) and Karikari et al. ( 2017 ). Notably, the present study is not limited to a single social networking platform, taking instead a holistic view of social media. The H2b findings are consistent with those of Bano et al. ( 2019 ), who also confirmed the link between bonding social capital and psychological well-being among University students using WhatsApp as social media platform, as well as those of Chen and Li ( 2017 ).

The H3a findings suggest that, during the COVID-19 pandemic when most people around the world have had limited offline or face-to-face interaction and have used social media to connect with families, friends, and social communities, they have often been unable to connect with them. This is due to many individuals avoiding using social media because of fake news, financial constraints, and a lack of trust in social media; thus, the lack both of offline and online interaction, coupled with negative experiences on social media use, enhances the level of social isolation (Hajek and König, 2021 ). These findings are consistent with those of Adnan and Anwar ( 2020 ). The H3b suggests that higher levels of social isolation have a negative impact on psychological well-being. These result indicating that, consistent with Choi and Noh ( 2019 ), social isolation is negatively and significantly related to psychological well-being.

The H4a results suggests that substantial use of social media use leads to an increase in smartphone addiction. These findings are in line with those of Jeong et al. ( 2016 ), who stated that the excessive use of smartphones for social media, entertainment (watching videos, listening to music), and playing e-games was more likely to lead to smartphone addiction. These findings also confirm the previous work of Jeong et al. ( 2016 ), Salehan and Negahban ( 2013 ), and Swar and Hameed ( 2017 ). The H4b results revealed that a single unit increase in smartphone addiction results in a 6.8% decrease in psychological well-being. These findings are in line with those of Tangmunkongvorakul et al. ( 2019 ), who showed that students with higher levels of smartphone addiction had lower psychological well-being scores. These findings also support those of Shoukat ( 2019 ), who showed that smartphone addiction inversely influences individuals' mental health.

This suggests that the greater the smartphone addiction, the greater the phubbing. The H5 findings are in line with those of Chatterjee ( 2020 ), Chotpitayasunondh and Douglas ( 2016 ), Guazzini et al. ( 2019 ), and Tonacci et al. ( 2019 ), who also evidenced a significant impact of smartphone addiction and phubbing. Similarly, Chotpitayasunondh and Douglas ( 2018 ) corroborated that smartphone addiction is the main predictor of phubbing behavior. However, these findings are inconsistent with those of Vallespín et al. ( 2017 ), who found a negative influence of phubbing.

The H6 results suggests that phubbing is one of the significant predictors of psychological well-being. Furthermore, these findings suggest that, when phubbers use a cellphone during interaction with someone, especially during the current pandemic, and they are connected with many family members, friends, and relatives; therefore, this kind of action gives them more satisfaction, which simultaneously results in increased relaxation and decreased depression (Chotpitayasunondh and Douglas, 2018 ). These findings support those of Davey et al. ( 2018 ), who evidenced that phubbing has a significant influence on adolescents and social health students in India.

The findings showed a significant and positive effect of social media use on psychological well-being both through bridging and bonding social capital. However, a significant and negative effect of social media use on psychological well-being through smartphone addiction and through social isolation was also found. Hence, this study provides evidence that could shed light on the contradictory contributions in the literature suggesting both positive (e.g., Chen and Li, 2017 ; Twenge and Campbell, 2019 ; Roberts and David, 2020 ) and negative (e.g., Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ) effects of social media use on psychological well-being. This study concludes that the overall impact is positive, despite some degree of negative indirect impact.

Theoretical Contributions

This study's findings contribute to the current literature, both by providing empirical evidence for the relationships suggested by extant literature and by demonstrating the relevance of adopting a more complex approach that considers, in particular, the indirect effect of social media on psychological well-being. As such, this study constitutes a basis for future research (Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ) aiming to understand the impacts of social media use and to find ways to reduce its possible negative impacts.

In line with Kim and Kim ( 2017 ), who stressed the importance of heterogeneous social networks in improving social capital, this paper suggests that, to positively impact psychological well-being, social media usage should be associated both with strong and weak ties, as both are important in building social capital, and hence associated with its bonding and bridging facets. Interestingly, though, bridging capital was shown as having the greatest impact on psychological well-being. Thus, the importance of wider social horizons, the inclusion in different groups, and establishing new connections (Putnam, 1995 , 2000 ) with heterogeneous weak ties (Li and Chen, 2014 ) are highlighted in this paper.

Practical Contributions

These findings are significant for practitioners, particularly those interested in dealing with the possible negative impacts of social media use on psychological well-being. Although social media use is associated with factors that negatively impact psychological well-being, particularly smartphone addiction and social isolation, these negative impacts can be lessened if the connections with both strong and weak ties are facilitated and featured by social media. Indeed, social media platforms offer several features, from facilitating communication with family, friends, and acquaintances, to identifying and offering access to other people with shared interests. However, it is important to access heterogeneous weak ties (Li and Chen, 2014 ) so that social media offers access to wider sources of information and new resources, hence enhancing bridging social capital.

Limitations and Directions for Future Studies

This study is not without limitations. For example, this study used a convenience sampling approach to reach to a large number of respondents. Further, this study was conducted in Mexico only, limiting the generalizability of the results; future research should therefore use a cross-cultural approach to investigate the impacts of social media use on psychological well-being and the mediating role of proposed constructs (e.g., bonding and bridging social capital, social isolation, and smartphone addiction). The sample distribution may also be regarded as a limitation of the study because respondents were mainly well-educated and female. Moreover, although Internet channels represent a particularly suitable way to approach social media users, the fact that this study adopted an online survey does not guarantee a representative sample of the population. Hence, extrapolating the results requires caution, and study replication is recommended, particularly with social media users from other countries and cultures. The present study was conducted in the context of mainly University students, primarily well-educated females, via an online survey on in Mexico; therefore, the findings represent a snapshot at a particular time. Notably, however, the effect of social media use is increasing due to COVID-19 around the globe and is volatile over time.

Two of the proposed hypotheses of this study, namely the expected negative impacts of social media use on social isolation and of phubbing on psychological well-being, should be further explored. One possible approach is to consider the type of connections (i.e., weak and strong ties) to explain further the impact of social media usage on social isolation. Apparently, the prevalence of weak ties, although facilitating bridging social capital, may have an adverse impact in terms of social isolation. Regarding phubbing, the fact that the findings point to a possible positive impact on psychological well-being should be carefully addressed, specifically by psychology theorists and scholars, in order to identify factors that may help further understand this phenomenon. Other suggestions for future research include using mixed-method approaches, as qualitative studies could help further validate the results and provide complementary perspectives on the relationships between the considered variables.

Data Availability Statement

Ethics statement.

The studies involving human participants were reviewed and approved by Jiangsu University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding. This study is supported by the National Statistics Research Project of China (2016LY96).

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