Clinical Child and Family Psychology Review

, Volume 21, Issue 3, pp 295–319 | Cite as

Transformation of Adolescent Peer Relations in the Social Media Context: Part 2—Application to Peer Group Processes and Future Directions for Research

  • Jacqueline NesiEmail author
  • Sophia Choukas-Bradley
  • Mitchell J. Prinstein


As social media use becomes increasingly widespread among adolescents, research in this area has accumulated rapidly. Researchers have shown a growing interest in the impact of social media on adolescents’ peer experiences, including the ways that the social media context shapes a variety of peer relations constructs. This paper represents Part 2 of a two-part theoretical review. In this review, we offer a new model for understanding the transformative role of social media in adolescents’ peer experiences, with the goal of stimulating future empirical work that is grounded in theory. The transformation framework suggests that the features of the social media context transform adolescents’ peer experiences by changing their frequency or immediacy, amplifying demands, altering their qualitative nature, and/or offering new opportunities for compensatory or novel behaviors. In the current paper, we consider the ways that social media may transform peer relations constructs that often occur at the group level. Our review focuses on three key constructs: peer victimization, peer status, and peer influence. We selectively review and highlight existing evidence for the transformation of these domains through social media. In addition, we discuss methodological considerations and key conceptual principles for future work. The current framework offers a new theoretical perspective through which peer relations researchers may consider adolescent social media use.


Adolescents Social media Review Peer influence Peer status Cyber victimization 



This work was supported in part by the National Science Foundation Graduate Research Fellowship [DGE-1144081] awarded to Jacqueline Nesi. This work was also supported by funding from the National Institutes of Health [R01-MH85505, R01-HD055342] grants awarded to Mitchell J. Prinstein.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.


  1. Agatston, P. W., Kowalski, R., & Limber, S. (2007). Students’ perspectives on cyber bullying. Journal of Adolescent Health, 41(6), S59–S60. Scholar
  2. Almquist, Y. (2009). Peer status in school and adult disease risk: A 30-year follow-up study of disease-specific morbidity in a Stockholm cohort. Journal of Epidemiology and Community Health, 63(12), 1028–1034. Scholar
  3. Almquist, Y. B., & Östberg, V. (2013). Social relationships and subsequent health-related behaviours: Linkages between adolescent peer status and levels of adult smoking in a Stockholm cohort: Peer status in school and adult smoking. Addiction, 108(3), 629–637. Scholar
  4. Arseniev-Koehler, A., Lee, H., McCormick, T., & Moreno, M. A. (2016). #Proana: Pro-eating disorder socialization on twitter. Journal of Adolescent Health, 58(6), 659–664. Scholar
  5. Baker, C. K., & Carreño, P. K. (2016). Understanding the role of technology in adolescent dating and dating violence. Journal of Child and Family Studies, 25(1), 308–320. Scholar
  6. Bastiaensens, S., Vandebosch, H., Poels, K., Van Cleemput, K., DeSmet, A., & De Bourdeaudhuij, I. (2014). Cyberbullying on social network sites. An experimental study into bystanders’ behavioural intentions to help the victim or reinforce the bully. Computers in Human Behavior, 31, 259–271. Scholar
  7. Baumgartner, S. E., Sumter, S. R., Peter, J., & Valkenburg, P. M. (2015). Sexual self-presentation on social network sites: Who does it and how is it perceived? Computers in Human Behavior, 50, 91–100. Scholar
  8. Bell, V. (2007). Online information, extreme communities and internet therapy: Is the internet good for our mental health? Journal of Mental Health, 16(4), 445–457. Scholar
  9. Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research. Journal of Consumer Psychology, 24(4), 586–607. Scholar
  10. Berger, J., & Milkman, K. L. (2012). What makes online content viral? Journal of Marketing Research, 49(2), 192–205. Scholar
  11. Beullens, K., & Vandenbosch, L. (2016). A conditional process analysis on the relationship between the use of social networking sites, attitudes, peer norms, and adolescents’ intentions to consume alcohol. Media Psychology, 19(2), 310–333. Scholar
  12. Beyens, I., Frison, E., & Eggermont, S. (2016). “I don’t want to miss a thing”: Adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior, 64, 1–8. Scholar
  13. Bonanno, R. A., & Hymel, S. (2013). Cyber bullying and internalizing difficulties: Above and beyond the impact of traditional forms of bullying. Journal of Youth and Adolescence, 42(5), 685–697. Scholar
  14. boyd, d. (2010). Social network sites as networked publics: Affordances, dynamics, and implications. In Networked self: Identity, community, and culture on social network sites (pp. 39–58). Retrieved from Accessed 8 July 2015.
  15. boyd, d. (2014). It’s complicated: The social lives of networked teens. New Haven: Yale University Press.Google Scholar
  16. Boyle, S. C., LaBrie, J. W., Froidevaux, N. M., & Witkovic, Y. D. (2016). Different digital paths to the keg? How exposure to peers’ alcohol-related social media content influences drinking among male and female first-year college students. Addictive Behaviors, 57, 21–29. Scholar
  17. Brechwald, W. A., & Prinstein, M. J. (2011). Beyond homophily: A decade of advances in understanding peer influence processes. Journal of Research on Adolescence, 21(1), 166–179. Scholar
  18. Bull, S. S., Levine, D. K., Black, S. R., Schmiege, S. J., & Santelli, J. (2012). Social media-delivered sexual health intervention. American Journal of Preventive Medicine, 43(5), 467–474. Scholar
  19. Buller, D. B., Borland, R., Woodall, W. G., Hall, J. R., Hines, J. M., Burris-Woodall, P., et al. (2008). Randomized trials on “consider this,” a tailored, internet-delivered smoking prevention program for adolescents. Health Education & Behavior, 35(2), 260–281. Scholar
  20. Chan, M. (2011). Shyness, sociability, and the role of media synchronicity in the use of computer-mediated communication for interpersonal communication: Shyness and computer-mediated communication. Asian Journal of Social Psychology. Scholar
  21. Choukas-Bradley, S., Nesi, J., Widman, L., & Higgins, M. K. (2017). Carryover of social media to young women’s offline lives: Associations with physical appearance concerns and depressive symptoms. Manuscript submitted for publication.Google Scholar
  22. Choukas-Bradley, S., & Prinstein, M. J. (2014). Peer relationships and the development of psychopathology. In M. Lewis & K. D. Rudolph (Eds.), Handbook of developmental psychopathology (pp. 185–204). Boston, MA: Springer. Scholar
  23. Christopherson, K. M. (2007). The positive and negative implications of anonymity in Internet social interactions: “On the Internet, Nobody Knows You’re a Dog”. Computers in Human Behavior, 23(6), 3038–3056. Scholar
  24. Chua, T. H. H., & Chang, L. (2016). Follow me and like my beautiful selfies: Singapore teenage girls’ engagement in self-presentation and peer comparison on social media. Computers in Human Behavior, 55, 190–197. Scholar
  25. Clayton, R. B., Leshner, G., & Almond, A. (2015). The extended iSelf: The impact of iPhone separation on cognition, emotion, and physiology. Journal of Computer-Mediated Communication, 20(2), 119–135. Scholar
  26. Coie, J. D., Dodge, K. A., & Coppotelli, H. (1982). Dimensions and types of social status: A cross-age perspective. Developmental Psychology, 18(4), 557–570. Scholar
  27. Courtois, C., All, A., & Vanwynsberghe, H. (2012). Social network profiles as information sources for adolescents’ offline relations. Cyberpsychology, Behavior, and Social Networking, 15(6), 290–295. Scholar
  28. Cushing, C. C., & Steele, R. G. (2010). A meta-analytic review of eHealth interventions for pediatric health promoting and maintaining behaviors. Journal of Pediatric Psychology, 35(9), 937–949. Scholar
  29. Dhir, A., Kaur, P., Lonka, K., & Nieminen, M. (2016). Why do adolescents untag photos on Facebook? Computers in Human Behavior, 55, 1106–1115. Scholar
  30. Dooley, J. J., Pyżalski, J., & Cross, D. (2009). Cyberbullying versus face-to-face bullying: A theoretical and conceptual review. Journal of Psychology, 217(4), 182–188. Scholar
  31. Draucker, C. B., & Martsolf, D. S. (2010). The role of electronic communication technology in adolescent dating violence. Journal of Child and Adolescent Psychiatric Nursing, 23(3), 133–142. Scholar
  32. Dunlop, S. M., More, E., & Romer, D. (2011). Where do youth learn about suicides on the Internet, and what influence does this have on suicidal ideation? Journal of Child Psychology and Psychiatry, 52(10), 1073–1080. Scholar
  33. Dyson, M. P., Hartling, L., Shulhan, J., Chisholm, A., Milne, A., Sundar, P., et al. (2016). A systematic review of social media use to discuss and view deliberate self-harm acts. PLoS ONE, 11(5), e0155813. Scholar
  34. Ehrenreich, S. E., & Underwood, M. K. (2016). Peer coercion and electronic messaging. In T. J. Dishion & J. Snyder (Eds.), The Oxford handbook of coercive relationship dynamics. Oxford: Oxford University Press. Scholar
  35. Elkind, D. (1967). Egocentrism in adolescence. Child Development, 38(4), 1025. Scholar
  36. Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. Scholar
  37. Fardouly, J., Pinkus, R. T., & Vartanian, L. R. (2017). The impact of appearance comparisons made through social media, traditional media, and in person in women’s everyday lives. Body Image, 20, 31–39. Scholar
  38. Feinstein, B. A., Hershenberg, R., Bhatia, V., Latack, J. A., Meuwly, N., & Davila, J. (2013). Negative social comparison on Facebook and depressive symptoms: Rumination as a mechanism. Psychology of Popular Media Culture, 2(3), 161–170. Scholar
  39. Ferrara, E., & Yang, Z. (2015). Measuring emotional contagion in social media. PLoS ONE, 10(11), e0142390. Scholar
  40. Fischer, P., Krueger, J. I., Greitemeyer, T., Vogrincic, C., Kastenmüller, A., Frey, D., et al. (2011). The bystander-effect: A meta-analytic review on bystander intervention in dangerous and non-dangerous emergencies. Psychological Bulletin, 137(4), 517–537. Scholar
  41. Fournier, A. K., Hall, E., Ricke, P., & Storey, B. (2013). Alcohol and the social network: Online social networking sites and college students’ perceived drinking norms. Psychology of Popular Media Culture, 2(2), 86–95. Scholar
  42. Fox, J., & Moreland, J. J. (2015). The dark side of social networking sites: An exploration of the relational and psychological stressors associated with Facebook use and affordances. Computers in Human Behavior, 45, 168–176. Scholar
  43. Fredstrom, B. K., Adams, R. E., & Gilman, R. (2011). Electronic and school-based victimization: Unique contexts for adjustment difficulties during adolescence. Journal of Youth and Adolescence, 40(4), 405–415. Scholar
  44. Fuligni, A. J., Eccles, J. S., Barber, B. L., & Clements, P. (2001). Early adolescent peer orientation and adjustment during high school. Developmental Psychology, 37(1), 28–36. Scholar
  45. Furman, W., & Rose, A. J. (2015). Friendships, romantic relationships, and peer relationships. In R. M. Lerner (Ed.), Handbook of child psychology and developmental science (pp. 1–43). Hoboken, NJ: Wiley. Scholar
  46. Geusens, F., & Beullens, K. (2016). The association between social networking sites and alcohol abuse among Belgian adolescents: The role of attitudes and social norms. Journal of Media Psychology. Scholar
  47. Geusens, F., & Beullens, K. (2017). Strategic self-presentation or authentic communication? Predicting adolescents’ alcohol references on social media. Journal of Studies on Alcohol and Drugs, 78(1), 124–133. Scholar
  48. Gini, G., Card, N. A., & Pozzoli, T. (2017). A meta-analysis of the differential relations of traditional and cyber-victimization with internalizing problems. Aggressive Behavior. Scholar
  49. Gould, M., Jamieson, P., & Romer, D. (2003). Media contagion and suicide among the young. American Behavioral Scientist, 46(9), 1269–1284. Scholar
  50. Grasmuck, S., Martin, J., & Zhao, S. (2009). Ethno-racial identity displays on Facebook. Journal of Computer-Mediated Communication, 15(1), 158–188. Scholar
  51. Gross, E. F. (2004). Adolescent Internet use: What we expect, what teens report. Journal of Applied Developmental Psychology, 25(6), 633–649. Scholar
  52. Gross, E. F. (2009). Logging on, bouncing back: An experimental investigation of online communication following social exclusion. Developmental Psychology, 45(6), 1787–1793. Scholar
  53. Harman, J. P., Hansen, C. E., Cochran, M. E., & Lindsey, C. R. (2005). Liar, liar: Internet Faking but not frequency of use affects social skills, self-esteem, social anxiety, and aggression. CyberPsychology & Behavior, 8(1), 1–6. Scholar
  54. Harter, S., Stocker, C., & Robinson, N. S. (1996). The perceived directionality of the link between approval and self-worth: The liabilities of a looking glass self-orientation among young adolescents. Journal of Research on Adolescence, 6(3), 285–308.Google Scholar
  55. Hertel, G., Schroer, J., Batinic, B., & Naumann, S. (2008). Do shy people prefer to send e-mail? Personality effects on communication media preferences in threatening and nonthreatening situations. Social Psychology, 39(4), 231–243. Scholar
  56. Hillier, L., & Harrison, L. (2007). Building realities less limited than their own: Young people practising same-sex attraction on the Internet. Sexualities, 10(1), 82–100. Scholar
  57. Hillier, L., Mitchell, K. J., & Ybarra, M. L. (2012). The Internet as a safety net: Findings from a series of online focus groups with LGB and non-LGB young people in the United States. Journal of LGBT Youth, 9(3), 225–246. Scholar
  58. Hofstra, B., Corten, R., & van Tubergen, F. (2016). Understanding the privacy behavior of adolescents on Facebook: The role of peers, popularity and trust. Computers in Human Behavior, 60, 611–621. Scholar
  59. Holland, G., & Tiggemann, M. (2016). A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes. Body Image, 17, 100–110. Scholar
  60. Huang, G. C., Unger, J. B., Soto, D., Fujimoto, K., Pentz, M. A., Jordan-Marsh, M., et al. (2013). Peer influences: The Impact of online and offline friendship networks on adolescent smoking and alcohol use. Journal of Adolescent Health, 54(5), 508–514. Scholar
  61. Jelenchick, L. A., Eickhoff, J. C., & Moreno, M. A. (2013). “Facebook depression?” Social networking site use and depression in older adolescents. Journal of Adolescent Health, 52(1), 128–130. Scholar
  62. Joseph, C. L. M., Peterson, E., Havstad, S., Johnson, C. C., Hoerauf, S., Stringer, S., et al. (2007). A Web-based, tailored asthma management program for urban African-American high school students. American Journal of Respiratory and Critical Care Medicine, 175(9), 888–895. Scholar
  63. Juarascio, A. S., Shoaib, A., & Timko, C. A. (2010). Pro-eating disorder communities on social networking sites: A content analysis. Eating Disorders, 18(5), 393–407. Scholar
  64. Jung, Y., Song, H., & Vorderer, P. (2012). Why do people post and read personal messages in public? The motivation of using personal blogs and its effects on users’ loneliness, belonging, and well-being. Computers in Human Behavior, 28(5), 1626–1633. Scholar
  65. Kandel, D. B. (1978). Homophily, selection, and socialization in adolescent friendships. American Journal of Sociology. Scholar
  66. Kasch, D. M. (2013). Social media selves: College students’ curation of self and others through Facebook. University of California Los Angeles, Los Angeles, CA. Retrieved from ProQuest LLC.Google Scholar
  67. Koutamanis, M., Vossen, H. G. M., & Valkenburg, P. M. (2015). Adolescents’ comments in social media: Why do adolescents receive negative feedback and who is most at risk? Computers in Human Behavior, 53, 486–494. Scholar
  68. Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137. Scholar
  69. Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24), 8788–8790. Scholar
  70. Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2003). Internet paradox revisited. The Wired Homestead: An MIT Press Sourcebook on the Internet and the Family, 58, 347.Google Scholar
  71. Kwon, K. H., Stefanone, M. A., & Barnett, G. A. (2014). Social network influence on online behavioral choices: Exploring group formation on social network sites. American Behavioral Scientist, 58(10), 1345–1360. Scholar
  72. LaFontana, K. M., & Cillessen, A. H. N. (2002). Children’s perceptions of popular and unpopular peers: A multimethod assessment. Developmental Psychology, 38(5), 635–647. Scholar
  73. Lapidot-Lefler, N., & Barak, A. (2012). Effects of anonymity, invisibility, and lack of eye-contact on toxic online disinhibition. Computers in Human Behavior, 28(2), 434–443. Scholar
  74. Lau, P. W., Lau, E. Y., Wong, D. P., & Ransdell, L. (2011). A systematic review of information and communication technology-based interventions for promoting physical activity behavior change in children and adolescents. Journal of Medical Internet Research, 13(3), e48. Scholar
  75. Lenhart, A. (2015a, April 9). Teens, social media & technology overview 2015. Retrieved June 28, 2015, from
  76. Lenhart, A. (2015b, August 6). Teens, technology and friendships. Retrieved May 3, 2017, from
  77. Lenhart, A., Madden, M., Smith, A., Purcell, K., Zickuhr, K., & Rainie, L. (2011, November 9). Teens, kindness and cruelty on social network sites. Retrieved May 6, 2017, from
  78. Leung, W., & Bascaramurty, D. (2012, October 12). Amanda Todd tragedy highlights how social media makes bullying inescapable. The Globe and Mail. Retrieved from
  79. Levine, M. P., & Chapman, K. (2011). Media influence on body image. In T. F. Cash & L. Smolak (Eds.), Body image: A handbook of science, practice, and prevention (2nd ed., pp. 101–109). New York: Guilford Press.Google Scholar
  80. Lewis, S. P., Heath, N. L., St Denis, J. M., & Noble, R. (2011). The scope of nonsuicidal self-injury on YouTube. Pediatrics, 127(3), e552–e557. Scholar
  81. Litt, D. M., & Stock, M. L. (2011). Adolescent alcohol-related risk cognitions: The roles of social norms and social networking sites. Psychology of Addictive Behaviors, 25(4), 708–713. Scholar
  82. Lorang, M. R., McNiel, D. E., & Binder, R. L. (2016). Minors and sexting: Legal implications. The Journal of the American Academy of Psychiatry and the Law, 44(1), 73–81.PubMedGoogle Scholar
  83. Madden, M., Lenhart, A., Cortesi, S., Gasser, U., Duggan, M., Smith, A., et al. (2013, May 21). Teens, social media, and privacy. Pew Research Center. Retrieved from
  84. Manago, A. M., Graham, M. B., Greenfield, P. M., & Salimkhan, G. (2008). Self-presentation and gender on MySpace. Journal of Applied Developmental Psychology, 29(6), 446–458. Scholar
  85. Marder, B., Joinson, A., Shankar, A., & Houghton, D. (2016). The extended “chilling” effect of Facebook: The cold reality of ubiquitous social networking. Computers in Human Behavior, 60, 582–592. Scholar
  86. Marwick, A. E. (2012). The public domain: Social surveillance in everyday life. Surveillance & Society Newcastle upon Tyne, 9(4), 378–393.Google Scholar
  87. Marwick, A. E. (2013). Status update: Celebrity, publicity, and branding in the social media age. New Haven: Yale University Press.Google Scholar
  88. Marwick, A. E. (2015). Instafame: Luxury selfies in the attention economy. Public Culture, 27(1(75)), 137–160. Scholar
  89. Marwick, A., & boyd, d. (2011a). The drama! Teen conflict, gossip, and bullying in networked publics. In A Decade in Internet time: Symposium on the dynamics of the internet and society, Oxford, UK.Google Scholar
  90. Marwick, A. E., & boyd, d. (2011b). I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New Media & Society, 13(1), 114–133. Scholar
  91. Marwick, A., & boyd, d. (2014). “It’s just drama”: Teen perspectives on conflict and aggression in a networked era. Journal of Youth Studies, 17(9), 1187–1204. Scholar
  92. McCuddy, T., & Vogel, M. (2015). Beyond traditional interaction: Exploring the functional form of the exposure-offending association across online network size. Journal of Criminal Justice, 43(2), 89–98. Scholar
  93. McFarland, L. A., & Ployhart, R. E. (2015). Social media: A contextual framework to guide research and practice. Journal of Applied Psychology, 100(6), 1653–1677. Scholar
  94. McKenna, K. Y. A., & Bargh, J. A. (2000). Plan 9 from cyberspace: The implications of the internet for personality and social psychology. Personality and Social Psychology Review, 4(1), 57–75. Scholar
  95. McLean, S. A., Paxton, S. J., Wertheim, E. H., & Masters, J. (2015). Photoshopping the selfie: Self photo editing and photo investment are associated with body dissatisfaction in adolescent girls: Photoshopping of the selfie. International Journal of Eating Disorders, 48(8), 1132–1140. Scholar
  96. Menting, B., Van Lier, P. A. C., Koot, H. M., Pardini, D., & Loeber, R. (2016). Cognitive impulsivity and the development of delinquency from late childhood to early adulthood: Moderating effects of parenting behavior and peer relationships. Development and Psychopathology, 28(1), 167–183. Scholar
  97. Michikyan, M., Subrahmanyam, K., & Dennis, J. (2014). Can you tell who I am? Neuroticism, extraversion, and online self-presentation among young adults. Computers in Human Behavior, 33, 179–183. Scholar
  98. Modin, B., Östberg, V., & Almquist, Y. (2011). Childhood peer status and adult susceptibility to anxiety and depression. A 30-year hospital follow-up. Journal of Abnormal Child Psychology, 39(2), 187–199. Scholar
  99. Moreno, M. A., Christakis, D. A., Egan, K. G., Brockman, L. N., & Becker, T. (2012). Associations between displayed alcohol references on Facebook and problem drinking among college students. Archives of Pediatrics and Adolescent Medicine, 166(2), 157–163. Scholar
  100. Moreno, M., & Kota, R. (2013). Social media. In V. C. Strasburger, B. Wilson, & A. B. (Beth) Jordan (Eds.), Children, adolescents, and the media (3rd ed.). SAGE Publications, Inc. Retrieved from Accessed 27 May 2015.
  101. Moreno, M. A., Ton, A., Selkie, E., & Evans, Y. (2016). Secret society 123: Understanding the language of self-harm on Instagram. Journal of Adolescent Health, 58(1), 78–84. Scholar
  102. National Center on Addiction and Substance Abuse at Columbia University. (2012). National Survey on American Attitudes on Substance Abuse XVII: Teens. Retrieved from Accessed 1 June 2016.
  103. Nesi, J., & Prinstein, M. J. (2015). Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. Journal of Abnormal Child Psychology. Scholar
  104. Nesi, J., & Prinstein, M. J. (2018). In search of likes: Longitudinal associations between adolescents’ digital status seeking and health-risk behaviors. Journal of Clinical Child and Adolescent Psychology. Scholar
  105. Nesi, J., Rothenberg, W. A., Hussong, A. M., & Jackson, K. M. (2017). Friends’ alcohol-related social networking site activity predicts escalations in adolescent drinking: Mediation by peer norms. Journal of Adolescent Health, 60(6), 641–647. Scholar
  106. Olweus, D. (1993). Bullying at school: What we know and what we can do. New York: Wiley.Google Scholar
  107. Olweus, D. (2012). Cyberbullying: An overrated phenomenon? European Journal of Developmental Psychology, 9(5), 520–538. Scholar
  108. Parkhurst, J. T., & Hopmeyer, A. (1998). Sociometric popularity and peer-perceived popularity: Two distinct dimensions of peer status. The Journal of Early Adolescence, 18(2), 125–144. Scholar
  109. Peter, J., & Valkenburg, P. M. (2006). Research note: Individual differences in perceptions of internet communication. European Journal of Communication, 21(2), 213–226. Scholar
  110. Peter, J., & Valkenburg, P. M. (2013). The effects of Internet communication on adolescents’ psychological development. The International Encyclopedia of Media Studies. Retrieved from
  111. Prinstein, M. J., & Aikins, J. W. (2004). Cognitive moderators of the longitudinal association between peer rejection and adolescent depressive symptoms. Journal of Abnormal Child Psychology, 32(2), 147–158. Scholar
  112. Prinstein, M. J., & Dodge, K. A. (2008). Understanding peer influence in children and adolescents. New York: Guilford Press.Google Scholar
  113. Prinstein, M. J., & Giletta, M. (2016). Peer relations and developmental psychopathology. In D. Cicchetti (Ed.), developmental psychopathology (pp. 1–53). Hoboken, NJ: Wiley. Scholar
  114. Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. Scholar
  115. Reid, D., & Weigle, P. (2014). Social media use among adolescents: Benefits and risks. Adolescent Psychiatry, 4(2), 73–80. Scholar
  116. Rice, E., Rhoades, H., Winetrobe, H., Sanchez, M., Montoya, J., Plant, A., et al. (2012). Sexually explicit cell phone messaging associated with sexual risk among adolescents. Pediatrics, 130(4), 667–673. Scholar
  117. Robertson, L., Skegg, K., Poore, M., Williams, S., & Taylor, B. (2012). An adolescent suicide cluster and the possible role of electronic communication technology. Crisis, 33(4), 239–245. Scholar
  118. Rubin, K. H., Bukowski, W. M., & Bowker, J. C. (2015). Children in peer groups. In R. M. Lerner (Ed.), Handbook of child psychology and developmental science (pp. 1–48). Hoboken, NJ: Wiley. Scholar
  119. Runions, K. C. (2013). Toward a conceptual model of motive and self-control in cyber-aggression: Rage, revenge, reward, and recreation. Journal of Youth and Adolescence, 42(5), 751–771. Scholar
  120. Saeri, A. K., Ogilvie, C., La Macchia, S. T., Smith, J. R., & Louis, W. R. (2014). Predicting Facebook users’ online privacy protection: Risk, trust, norm focus theory, and the theory of planned behavior. The Journal of Social Psychology, 154(4), 352–369. Scholar
  121. Salimkhan, G., Manago, A. M., & Greenfield, P. M. (2010). The construction of the virtual self on MySpace. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 4(1). Retrieved from Accessed 6 May 2017.
  122. Schouten, A. P., Valkenburg, P. M., & Peter, J. (2007). Precursors and underlying processes of adolescents’ online self-disclosure: Developing and testing an “Internet-attribute-perception” model. Media Psychology, 10(2), 292–315. Scholar
  123. Shanahan, M. J., Erickson, L. D., & Bauer, D. J. (2005). One hundred years of knowing: The changing science of adolescence, 1904 and 2004. Journal of Research on Adolescence, 15(4), 383–394. Scholar
  124. Sherman, L. E., Payton, A. A., Hernandez, L. M., Greenfield, P. M., & Dapretto, M. (2016). The power of the like in adolescence: Effects of peer influence on neural and behavioral responses to social media. Psychological Science, 27(7), 1027–1035. Scholar
  125. Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. New York: Wiley.Google Scholar
  126. Singleton, A., Abeles, P., & Smith, I. C. (2016). Online social networking and psychological experiences: The perceptions of young people with mental health difficulties. Computers in Human Behavior, 61, 394–403. Scholar
  127. Slonje, R., & Smith, P. K. (2008). Cyberbullying: Another main type of bullying? Scandinavian Journal of Psychology, 49(2), 147–154. Scholar
  128. Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008). Cyberbullying: Its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry, 49(4), 376–385. Scholar
  129. Stelloh, T. (2017, April 3). Second boy arrested in gang rape of Chicago teen streamed on Facebook Live. NBC News. Retrieved from Accessed 6 May 2017.
  130. Sticca, F., & Perren, S. (2013). Is cyberbullying worse than traditional bullying? Examining the differential roles of medium, publicity, and anonymity for the perceived severity of bullying. Journal of Youth and Adolescence, 42(5), 739–750. Scholar
  131. Subrahmanyam, K., & Greenfield, P. M. (2008). Virtual worlds in development: Implications of social networking sites. Journal of Applied Developmental Psychology, 29(6), 417–419. Scholar
  132. Subrahmanyam, K., & Šmahel, D. (2011). Digital youth: The role of media in development. New York: Springer.Google Scholar
  133. Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7(3), 321–326. Scholar
  134. Szwedo, D. E., Mikami, A. Y., & Allen, J. P. (2012). Social networking site use predicts changes in young adults’ psychological adjustment. Journal of Research on Adolescence, 22(3), 453–466. Scholar
  135. Tandoc, E. C. J., Ferrucci, P., & Duffy, M. (2015). Facebook use, envy, and depression among college students: Is facebooking depressing? Computers in Human Behavior, 43, 139–146. Scholar
  136. Tang, F., Wang, X., & Norman, C. S. (2013). An investigation of the impact of media capabilities and extraversion on social presence and user satisfaction. Behaviour & Information Technology, 32(10), 1060–1073. Scholar
  137. Tanis, M., Beukeboom, C. J., Hartmann, T., & Vermeulen, I. E. (2015). Phantom phone signals: An investigation into the prevalence and predictors of imagined cell phone signals. Computers in Human Behavior, 51, 356–362. Scholar
  138. Thompson, C. M., & Romo, L. K. (2016). College students’ drinking and posting about alcohol: Forwarding a model of motivations, behaviors, and consequences. Journal of Health Communication, 21(6), 688–695. Scholar
  139. Tynes, B. M. (2007). Internet safety gone wild? Sacrificing the educational and psychosocial benefits of online social environments. Journal of Adolescent Research, 22(6), 575–584. Scholar
  140. Tynes, B. M., Giang, M. T., & Thompson, G. N. (2008a). Ethnic identity, intergroup contact, and outgroup orientation among diverse groups of adolescents on the Internet. CyberPsychology & Behavior, 11(4), 459–465. Scholar
  141. Tynes, B. M., Giang, M. T., Williams, D. R., & Thompson, G. N. (2008b). Online racial discrimination and psychological adjustment among adolescents. Journal of Adolescent Health, 43(6), 565–569. Scholar
  142. Tynes, B. M., Umaña-Taylor, A. J., Rose, C. A., Lin, J., & Anderson, C. J. (2012). Online racial discrimination and the protective function of ethnic identity and self-esteem for African American adolescents. Developmental Psychology, 48(2), 343–355. Scholar
  143. Udris, R. (2014). Cyberbullying among high school students in Japan: Development and validation of the online disinhibition scale. Computers in Human Behavior, 41, 253–261. Scholar
  144. Underwood, M. K., & Ehrenreich, S. E. (2017). The power and the pain of adolescents’ digital communication: Cyber victimization and the perils of lurking. American Psychologist, 72(2), 144–158. Scholar
  145. Underwood, M. K., Ehrenreich, S. E., More, D., Solis, J. S., & Brinkley, D. Y. (2013). The BlackBerry project: The hidden world of adolescents’ text messaging and relations with internalizing symptoms. Journal of Research on Adolescence, 25(1), 101–117. Scholar
  146. Underwood, M. K., & Faris, R. (2015). #Being thirteen: Social media and the hidden world of young adolescents’ peer culture. Cable News Network (CNN). Retrieved from Accessed 13 Oct 2015.
  147. Valkenburg, P. M., & Peter, J. (2007). Preadolescents’ and adolescents’ online communication and their closeness to friends. Developmental Psychology, 43(2), 267–277. Scholar
  148. Valkenburg, P. M., & Peter, J. (2008). Adolescents’ identity experiments on the Internet: Consequences for social competence and self-concept unity. Communication Research, 35(2), 208–231. Scholar
  149. Valkenburg, P. M., & Peter, J. (2009). The effects of instant messaging on the quality of adolescents’ existing friendships: A longitudinal study. Journal of Communication, 59(1), 79–97. Scholar
  150. van Oosten, J. M. F., Peter, J., & Vandenbosch, L. (2017). Adolescents’ sexual media use and willingness to engage in casual sex: Differential relations and underlying processes. Human Communication Research, 43(1), 127–147. Scholar
  151. Vaterlaus, J. M., Barnett, K., Roche, C., & Young, J. A. (2016). “Snapchat is more personal”: An exploratory study on Snapchat behaviors and young adult interpersonal relationships. Computers in Human Behavior, 62, 594–601. Scholar
  152. Waasdorp, T. E., & Bradshaw, C. P. (2015). The overlap between cyberbullying and traditional bullying. Journal of Adolescent Health, 56(5), 483–488. Scholar
  153. Walther, J. B. (2011). Theories of computer-mediated communication and interpersonal relations. In M. L. Knapp & J. A. Daly (Eds.), The handbook of interpersonal communication (4th ed., pp. 443–479). Washington, D.C.: Sage.Google Scholar
  154. Wang, J.-L., Jackson, L. A., & Zhang, D.-J. (2011). The mediator role of self-disclosure and moderator roles of gender and social anxiety in the relationship between Chinese adolescents’ online communication and their real-world social relationships. Computers in Human Behavior, 27(6), 2161–2168. Scholar
  155. Wegge, D., Vandebosch, H., Eggermont, S., & Pabian, S. (2016). Popularity through online harm: The longitudinal associations between cyberbullying and sociometric status in early adolescence. The Journal of Early Adolescence, 36(1), 86–107. Scholar
  156. Welbers, K., & de Nooy, W. (2014). Stylistic accommodation on an Internet forum as bonding: Do posters adapt to the style of their peers? American Behavioral Scientist, 58(10), 1361–1375. Scholar
  157. White, A. E., Weinstein, E., & Selman, R. L. (2016). Adolescent friendship challenges in a digital context: Are new technologies game changers, amplifiers, or just a new medium? Convergence: The International Journal of Research into New Media Technologies. Scholar
  158. Wiederhold, B. K. (2014). Cyberbullying and LGBTQ Youth: A deadly combination. Cyberpsychology, Behavior, and Social Networking, 17(9), 569–570. Scholar
  159. Wigderson, S., & Lynch, M. (2013). Cyber- and traditional peer victimization: Unique relationships with adolescent well-being. Psychology of Violence, 3(4), 297–309. Scholar
  160. Willard, N. E. (2007). Cyberbullying and cyberthreats: Responding to the challenge of online social aggression, threats, and distress. Champaign, Ill: Research Press.Google Scholar
  161. Woong Yun, G., & Park, S.-Y. (2011). Selective posting: Willingness to post a message online. Journal of Computer-Mediated Communication, 16(2), 201–227. Scholar
  162. Wright, M. F. (2014). Predictors of anonymous cyber aggression: The role of adolescents’ beliefs about anonymity, aggression, and the permanency of digital content. Cyberpsychology, Behavior, and Social Networking, 17(7), 431–438. Scholar
  163. Ybarra, M. L., Mitchell, K. J., Palmer, N. A., & Reisner, S. L. (2015). Online social support as a buffer against online and offline peer and sexual victimization among US LGBT and non-LGBT youth. Child Abuse & Neglect, 39, 123–136. Scholar
  164. Yeshua-Katz, D. (2015). Online stigma resistance in the pro-ana community. Qualitative Health Research, 25(10), 1347–1358. Scholar
  165. Yoo, W., Yang, J., & Cho, E. (2016). How social media influence college students’ smoking attitudes and intentions. Computers in Human Behavior, 64, 173–182. Scholar
  166. Young, S. D., & Jordan, A. H. (2013). The influence of social networking photos on social norms and sexual health behaviors. Cyberpsychology, Behavior, and Social Networking, 16(4), 243–247. Scholar
  167. Young, C. M. Y., & Lo, B. C. Y. (2012). Cognitive appraisal mediating relationship between social anxiety and internet communication in adolescents. Personality and Individual Differences, 52(1), 78–83. Scholar
  168. Zywica, J., & Danowski, J. (2008). The faces of Facebookers: Investigating social enhancement and social compensation hypotheses: Predicting Facebooktm and offline popularity from sociability and self-esteem, and mapping the meanings of popularity with semantic networks. Journal of Computer-Mediated Communication, 14(1), 1–34. Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jacqueline Nesi
    • 1
    • 2
    Email author
  • Sophia Choukas-Bradley
    • 3
  • Mitchell J. Prinstein
    • 2
  1. 1.Department of Psychiatry and Human BehaviorWarren Alpert Medical School of Brown UniversityProvidenceUSA
  2. 2.Department of Psychology and NeuroscienceUniversity of North Carolina at Chapel HillChapel HillUSA
  3. 3.Department of PsychologyUniversity of PittsburghPittsburghUSA

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