Journal of Abnormal Child Psychology

, Volume 43, Issue 8, pp 1427–1438 | Cite as

Using Social Media for Social Comparison and Feedback-Seeking: Gender and Popularity Moderate Associations with Depressive Symptoms

  • Jacqueline NesiEmail author
  • Mitchell J. PrinsteinEmail author


This study examined specific technology-based behaviors (social comparison and interpersonal feedback-seeking) that may interact with offline individual characteristics to predict concurrent depressive symptoms among adolescents. A total of 619 students (57 % female; mean age 14.6) completed self-report questionnaires at 2 time points. Adolescents reported on levels of depressive symptoms at baseline, and 1 year later on depressive symptoms, frequency of technology use (cell phones, Facebook, and Instagram), excessive reassurance-seeking, and technology-based social comparison and feedback-seeking. Adolescents also completed sociometric nominations of popularity. Consistent with hypotheses, technology-based social comparison and feedback-seeking were associated with depressive symptoms. Popularity and gender served as moderators of this effect, such that the association was particularly strong among females and adolescents low in popularity. Associations were found above and beyond the effects of overall frequency of technology use, offline excessive reassurance-seeking, and prior depressive symptoms. Findings highlight the utility of examining the psychological implications of adolescents’ technology use within the framework of existing interpersonal models of adolescent depression and suggest the importance of more nuanced approaches to the study of adolescents’ media use.


Adolescents Depressive symptoms Technology Social media Interpersonal feedback-seeking Social comparison 



This work was supported in part by National Institutes of Health Grant R01-HD055342 awarded to Mitchell J. Prinstein. This work was also supported in part by the National Science Foundation Graduate Research Fellowship DGE-1144081 awarded to Jacqueline Nesi. We wish to sincerely thank the many research assistants and research participants who made this study possible.


Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Institutes of Health or the National Science Foundation.

Conflict of Interest

The authors declare that they have no conflict of interest.


  1. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks: Sage.Google Scholar
  2. Angold, A., Costello, E., Messer, S., Pickles, A., Winder, F., & Silver, D. (1995). Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. International Journal of Methods in Psychiatric Research, 5, 237–249.Google Scholar
  3. Babad, E. (2001). On the conception and measurement of popularity: more facts and some straight conclusions. Social Psychology of Education, 5, 3–30.CrossRefGoogle Scholar
  4. Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: inferential and graphical techniques. Multivariate Behavioral Research, 40, 373–400.CrossRefGoogle Scholar
  5. Bessière, K., Kiesler, S., Kraut, R., & Boneva, B. S. (2008). Effects of internet use and social resources on changes in depression. Information, Communication & Society, 11, 47–70.CrossRefGoogle Scholar
  6. Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: a systematic narrative review. Children and Youth Services Review, 41, 27–36.CrossRefGoogle Scholar
  7. Borelli, J. L., & Prinstein, M. J. (2006). Reciprocal, longitudinal associations among adolescents’ negative feedback-seeking, depressive symptoms, and peer relations. Journal of Abnormal Child Psychology, 34, 154–164.CrossRefGoogle Scholar
  8. boyd, d. (2007). Social networking sites: public, private, or what? Knowledge Tree, 13, 28.Google Scholar
  9. Burke, M., Marlow, C., & Lento, T. (2010). Social network activity and social well-being. In Proceedings of the 28th Conference on Human Factors in Computing Systems. Atlanta, GA.Google Scholar
  10. Chou, H.-T. G., & Edge, N. (2012). “They are happier and having better lives than I am”: the impact of using facebook on perceptions of others’ lives. Cyberpsychology, Behavior and Social Networking, 15, 117–121.CrossRefPubMedGoogle Scholar
  11. Choukas-Bradley, S., & Prinstein, M. J. (2014). Peer relationships and the development of psychopathology. In Handbook of developmental psychopathology (pp. 185–204). New York: Springer.CrossRefGoogle Scholar
  12. Coie, J., Dodge, K., & Coppotelli, H. (1983). Dimensions and types of social status: a cross-age perspective. Developmental Psychology, 18, 557–570.CrossRefGoogle Scholar
  13. Davila, J., Hershenberg, R., Feinstein, B. A., Gorman, K., Bhatia, V., & Starr, L. R. (2012). Frequency and quality of social networking among young adults: associations with depressive symptoms, rumination, and co-rumination. Psychology of Popular Media Culture, 1, 72–86.PubMedCentralCrossRefPubMedGoogle Scholar
  14. 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, 161–170.CrossRefGoogle Scholar
  15. Forest, A. L., & Wood, J. V. (2012). When social networking is not working: individuals with low self-esteem recognize but do not reap the benefits of self-disclosure on facebook. Psychological Science, 23, 295–302.CrossRefPubMedGoogle Scholar
  16. Gibbons, F., & Buunk, B. (1999). Individual differences in social comparison: development of a scale of social comparison orientation. Journal of Personality and Social Psychology, 76, 129–142.CrossRefPubMedGoogle Scholar
  17. Gilbert, D. T., & Malone, P. S. (1995). The correspondence bias. Psychological Bulletin, 117, 21.CrossRefPubMedGoogle Scholar
  18. Gonzales, A. L., & Hancock, J. T. (2011). Mirror, mirror on my facebook wall: effects of exposure to facebook on self-esteem. Cyberpsychology, Behavior and Social Networking, 14, 79–83.CrossRefPubMedGoogle Scholar
  19. Gross, E. F. (2004). Adolescent internet use: what we expect, what teens report. Journal of Applied Developmental Psychology, 25, 633–649.CrossRefGoogle Scholar
  20. Haferkamp, N., & Krämer, N. C. (2011). Social comparison 2.0: examining the effects of online profiles on social-networking sites. Cyberpsychology, Behavior and Social Networking, 14, 309–314.CrossRefPubMedGoogle Scholar
  21. Hames, J. L., Hagan, C. R., & Joiner, T. E. (2013). Interpersonal processes in depression. Annual Review of Clinical Psychology, 9, 355–377.CrossRefPubMedGoogle Scholar
  22. Harter, S. (2012). The construction of the self: Developmental and sociocultural foundations. New York: Guilford.Google Scholar
  23. Harter, S., Stocker, S., & 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, 285–308.Google Scholar
  24. Holmbeck, G. (2002). Post-hoc probing of significant moderational and meditational effects in studies of pediatric populations. Journal of Pediatric Psychology, 27, 87–96.CrossRefPubMedGoogle Scholar
  25. 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, 128–130.CrossRefPubMedGoogle Scholar
  26. Joiner, T. E., Jr. (1999). A test of interpersonal theory of depression in youth psychiatric inpatients. Journal of Abnormal Child Psychology, 27, 77–85.CrossRefPubMedGoogle Scholar
  27. Joiner, T. E., & Metalsky, G. I. (1995). A prospective test of an integrative interpersonal theory of depression: a naturalistic study of college roommates. Journal of Personality and Social Psychology, 69, 778–788.CrossRefPubMedGoogle Scholar
  28. Joiner, T. E., & Metalsky, G. I. (2001). Excessive reassurance seeking: delineating a risk factor involved in the development of depressive symptoms. Psychological Science, 12, 371–378.CrossRefPubMedGoogle Scholar
  29. Jones, D. C. (2001). Social comparison and body image: attractiveness comparisons to models and peers among adolescent girls and boys. Sex Roles, 45, 645–664.CrossRefGoogle Scholar
  30. Jones, S. & Fox, S. (2009). Generations online in 2009. Pew Internet & American Life Project. Retrieved from
  31. Krasnova, H., Wenninger, H., Widjaja, T., & Buxmann, P. (2013). Envy on Facebook: A hidden threat to users’ life satisfaction? In International Conference on Wirtschaftsinformatik, Leipzig. Google Scholar
  32. Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2002). Internet paradox revisited. Journal of Social Issues, 58, 49–74.CrossRefGoogle Scholar
  33. Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., … Ybarra, O. (2013). Facebook use predicts declines in subjective well-being in young adults. PLoS ONE, 8. doi:  10.1371/journal.pone.0069841.
  34. Lenhart, A., Purcell, K., Smith, A., & Zickhur, K. (2010). Social media & mobile Internet use among teens and young adults. Pew Internet & American Life Project. Retrieved from
  35. Madden, M., Lenhart, A., Cortesi, S., Gasser, U., Duggan, M., Smith, A., & Beaton, M. (2013a). Teens, social media, and privacy. Pew Research Center. Retrieved from
  36. Madden, M., Lenhart, A., Duggan, M., Cortesi, S., & Gasser, U. (2013b). Teens and technology 2013. Pew Internet & American Life Project. Retrieved from
  37. Manago, A. M., Graham, M. B., Greenfield, P. M., & Salimkhan, G. (2008). Self-presentation and gender on MySpace. Journal of Applied Developmental Psychology, 29, 446–458.CrossRefGoogle Scholar
  38. Manago, A. M., Taylor, T., & Greenfield, P. M. (2012). Me and my 400 friends: the anatomy of college students’ facebook networks, their communication patterns, and well-being. Developmental Psychology, 48, 369–380.CrossRefPubMedGoogle Scholar
  39. Mikami, A. Y., Szwedo, D. E., Allen, J. P., Evans, M. A., & Hare, A. L. (2010). Adolescent peer relationships and behavior problems predict young adults’ communication on social networking websites. Developmental Psychology, 46, 46–56.PubMedCentralCrossRefPubMedGoogle Scholar
  40. Muise, A., Christofides, E., & Desmarais, S. (2009). More information than you ever wanted: does facebook bring out the green-eyed monster of jealousy? CyberPsychology & Behavior, 12, 441–444.CrossRefGoogle Scholar
  41. Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students’ social networking experiences on facebook. Journal of Applied Developmental Psychology, 30, 227–238. doi: 10.1016/j.appdev.2008.12.010.CrossRefGoogle Scholar
  42. Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437–448.CrossRefGoogle Scholar
  43. Prinstein, M. J., & Cillessen, A. H. (2003). Forms and functions of adolescent peer aggression associated with high levels of peer status. Merrill-Palmer Quarterly (1982-), 310–342.Google Scholar
  44. Prinstein, M. J., Borelli, J. L., Cheah, C. S. L., Simon, V. A., & Aikins, J. W. (2005). Adolescent girls’ interpersonal vulnerability to depressive symptoms: a longitudinal examination of reassurance-seeking and peer relationships. Journal of Abnormal Psychology, 114, 676–688.CrossRefPubMedGoogle Scholar
  45. Reich, S. M., Subrahmanyam, K., & Espinoza, G. (2012). Friending, IMing, and hanging out face-to-face: overlap in adolescents’ online and offline social networks. Developmental Psychology, 48, 356–368.CrossRefPubMedGoogle Scholar
  46. Rideout, V. J., Foehr, U. G., & Roberts, D. F. (2010). Generation M2: Media in the lives of 8-to-18-year-olds. Retrieved from
  47. Rothon, C., Head, J., Clark, C., Klineberg, E., Cattell, V., & Stansfeld, S. (2009). The impact of psychological distress on the educational achievement of adolescents at the end of compulsory education. Social Psychiatry and Psychiatric Epidemiology, 44, 421–427.PubMedCentralCrossRefPubMedGoogle Scholar
  48. Rudolph, K. D. (2002). Gender differences in emotional responses to interpersonal stress during adolescence. Journal of Adolescent Health, 30, 3–13.CrossRefPubMedGoogle Scholar
  49. Rudolph, K. D. (2009). Adolescent depression. In I. H. Gotlib & C. L. Hammen (Eds.), Handbook of Depression: Second Edition (444–467).Google Scholar
  50. Selfhout, M. H. W., Branje, S. J. T., Delsing, M., ter Bogt, T. F. M., & Meeus, W. H. J. (2009). Different types of internet use, depression, and social anxiety: the role of perceived friendship quality. Journal of Adolescence, 32, 819–833.CrossRefPubMedGoogle Scholar
  51. Sharp, C., Goodyer, I. M., & Croudace, T. J. (2006). The short mood and feelings questionnaire (SMFQ): a unidimensional item response theory and categorical data factor analysis of self-report ratings from a community sample of 7-through 11-year-old children. Journal of Abnormal Child Psychology, 34, 379–391.CrossRefPubMedGoogle Scholar
  52. Starr, L. R., & Davila, J. (2008). Excessive reassurance seeking, depression, and interpersonal rejection: a meta-analytic review. Journal of Abnormal Psychology, 117, 762–775.CrossRefPubMedGoogle Scholar
  53. Stefanone, M. A., Lackaff, D., & Rosen, D. (2011). Contingencies of self-worth and social-networking-site behavior. Cyberpsychology, Behavior and Social Networking, 14, 41–49.CrossRefPubMedGoogle Scholar
  54. Subrahmanyam, K., & Greenfield, P. (2008). Online communication and adolescent relationships. The Future of Children, 18, 119–146.CrossRefPubMedGoogle Scholar
  55. Tversky, A., & Kahneman, D. (1973). Availability: a heuristic for judging frequency and probability. Cognitive Psychology, 5, 207–232.CrossRefGoogle Scholar
  56. Uhls, Y. T., Espinoza, G., Greenfield, P., Subrahmanyam, K., & Smahel, D. (2011). Internet and other interactive media. Encyclopedia of Adolescence, 2, 160–168.CrossRefGoogle Scholar
  57. Underwood, M. K., Rosen, L. H., More, D., Ehrenreich, S. E., & Gentsch, J. K. (2012). The BlackBerry project: capturing the content of adolescents’ text messaging. Developmental Psychology, 48, 295–302.PubMedCentralCrossRefPubMedGoogle Scholar
  58. 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, 79–97.CrossRefGoogle Scholar
  59. Valkenburg, P. M., & Peter, J. (2013). Five challenges for the future of media-effects research. International Journal of Communication, 7, 197–215.Google Scholar
  60. Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. CyberPsychology & Behavior, 9, 584–590.CrossRefGoogle Scholar
  61. van den Eijnden, R. J. J. M., Meerkerk, G.-J., Vermulst, A. A., Spijkerman, R., & Engels, R. C. M. E. (2008). Online communication, compulsive internet use, and psychosocial well-being among adolescents: a longitudinal study. Developmental Psychology, 44, 655–665.CrossRefPubMedGoogle Scholar
  62. Walther, J. B., Liang, Y. J., DeAndrea, D. C., Tong, S. T., Carr, C. T., Spottswood, E. L., & Amichai-Hamburger, Y. (2011). The effect of feedback on identity shift in computer-mediated communication. Media Psychology, 14, 1–26.CrossRefGoogle Scholar
  63. Wenzlaff, R. M., & Beevers, C. G. (1998). Depression and interpersonal responses to others’ moods: the solicitation of negative information about happy people. Personality and Social Psychology Bulletin, 24, 386–398.CrossRefGoogle Scholar
  64. Widman, L., Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2014). Safe sext: adolescents’ use of technology to communicate about sexual health with dating partners. The Journal of Adolescent Health, 54, 612–614.PubMedCentralCrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of PsychologyUniversity of North Carolina at Chapel HillChapel HillUSA

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