Abstract
Social media (SM) use has increasingly changed how adolescents interact with their peers, yet it remains unclear how peer interactions on social media differ from in-person peer interactions. The current study evaluated whether the context (social media or in-person) of adolescent girls’ worst and best peer interactions influenced their emotional responses to peer interactions and sustained affect in everyday life. In this study, a total of 110 adolescent girls (11–13 years old; mean age = 12.28 years) completed ecological momentary assessment (EMA) for 16 days following an initial baseline visit. Participants reported their worst (i.e., most negative) and best (i.e., most positive) interactions with peers since the last prompt, the context in which it occurred (social media or in-person), emotional reactivity during the interaction, and momentary affect. Multilevel models indicated that negative peer interactions that occurred on social media were more likely to be associated with sustained negative affect, but not negative emotional reactivity during the interaction. Positive interactions on social media were more likely to be associated with both lower positive emotional reactivity and lower sustained positive affect. Findings indicate that peer interactions on social media may differentially impact girls’ emotional reactivity and sustained affect, particularly for positive interactions with peers. Findings highlight that social media and in-person peer interactions may impact how girls experience and respond to positive and negative peer interactions, which may have implications for peer relationships and onset of psychopathology during this vulnerable period.
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References
Anderson, M., & Jiang, J. (2018). Teens, social media, and technology. Retrieved from https://pewresearch.org
Blakemore, S. J. (2008). The social brain in adolescence. Nature Reviews Neuroscience, 9(4), 267–277. https://doi.org/10.1038/nrn2353
Bodden, D. H., Bogels, S. M., & Muris, P. (2009). The diagnostic utility of the Screen for Child Anxiety Related Emotional Disorders-71 (SCARED-71). Behaviour Research and Therapy, 47(5), 418–425. https://doi.org/10.1016/j.brat.2009.01.015
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. https://doi.org/10.1007/s10964-013-9937-1
Capaldi, D. M., & Rothbart, M. K. (1992). Development and validation of an early adolescent temperament measure. The Journal of Early Adolescence, 12, 153–173.
Chronis-Tuscano, A., Degnan, K. A., Pine, D. S., Perez-Edgar, K., Henderson, H. A., Diaz, Y., & Fox, N. A. (2009). Stable early maternal report of behavioral inhibition predicts lifetime social anxiety disorder in adolescence. Journal of the American Academy of Child and Adolescent Psychiatry, 48(9), 928–935. https://doi.org/10.1097/CHI.0b013e3181ae09df
DeClerck, D., & Holtzman, S. (2018). To text or talk: Does communication modality matter when providing criticism to others? Computers in Human Behavior, 87, 109–120. https://doi.org/10.1016/j.chb.2018.05.011
Derks, D., Bos, A. E., & von Grumbkow, J. (2008). Emoticons in computer-mediated communication: social motives and social context. Cyberpsychology & Behavior, 11(1), 99–101. https://doi.org/10.1089/cpb.2007.9926
Ellis, L. K., & Rothbart, M. K. (2001). Revision of the early adolescent temperament questionnaire. Paper presented at the Biennial meeting of the society for research in child development, Minneapolis, Minnesota.
Erwin, B. A., Turk, C. L., Heimberg, R. G., Fresco, D. M., & Hantula, D. A. (2004). The Internet: home to a severe population of individuals with social anxiety disorder? Journal of Anxiety Disorders, 18(5), 629–646. https://doi.org/10.1016/j.janxdis.2003.08.002
Escobar-Viera, C. G., Shensa, A., Bowman, N. D., Sidani, J. E., Knight, J., James, A. E., & Primack, B. A. (2018). Passive and Active Social Media Use and Depressive Symptoms Among United States Adults. Cyberpsychology, Behavior, & Social Networking, 21(7), 437–443. https://doi.org/10.1089/cyber.2017.0668
Filipkowski, K. B., & Smyth, J. M. (2012). Plugged in but not connected: Individuals’ views of and responses to online and in-person ostracism. Computers in Human Behavior, 28, 1241–1253. https://doi.org/10.1016/j.chb.2012.02.007
Gladstone, G. L., & Parker, G. B. (2006). Is behavioral inhibition a risk factor for depression? Journal of Affective Disorders, 95(1–3), 85–94. https://doi.org/10.1016/j.jad.2006.04.015
Grieve, R., Indian, M., Witteveen, K., Anne Tolan, G., & Marrington, J. (2013). Face-to-face or Facebook: Can social connectedness be derived online? Computers in Human Behavior, 29, 604–609. https://doi.org/10.1016/j.chb.2012.11.017
Hamilton, J. L., Burke, T. A., Stange, J. P., Kleiman, E. M., Rubenstein, L. M., Scopelliti, K. A., & Alloy, L. B. (2017). Trait affect, emotion regulation, and the generation of negative and positive interpersonal events. Behavior Therapy, 48(4), 435–447. https://doi.org/10.1016/j.beth.2017.01.006
Hamilton, J. L., Coulter, R. A., & Radovic, A. (2020). Mental health benefits and opportunities. In M. A. Moreno & A. J. Hoopes (Eds.), Technology and Adolescent Health: In Schools and Beyond (pp. 305–345). New York, NY: Elsevier.
Hamilton, J. L., Stange, J. P., Abramson, L. Y., & Alloy, L. B. (2015). Stress and the development of cognitive vulnerabilities to depression explain sex differences in depressive symptoms during adolescence. Clinical Psychological Science, 3(5), 702–714. https://doi.org/10.1177/2167702614545479
Hankin, B. L., Mermelstein, R., & Roesch, L. (2007). Sex differences in adolescent depression: stress exposure and reactivity models. Child Development, 78(1), 279–295. https://doi.org/10.1111/j.1467-8624.2007.00997.x
Holtzman, S., DeClerck, D., Turcotte, K., Lisi, D., & Woodworth, M. (2017). Emotional support during times of stress: Can text messaging compete with in-person interactions? Computers in Human Behavior, 71, 130–139. https://doi.org/10.1016/j.chb.2017.01.043
Joormann, J., & Quinn, M. E. (2014). Cognitive processes and emotion regulation in depression. Depression and Anxiety, 31(4), 308–315. https://doi.org/10.1002/da.22264
Kafetsios, K., Chatzakou, D., Tsigilis, N., & Vakali, A. (2017). Experience of emotion in face to face and computer-mediated social interactions: An event sampling study. Computers in Human Behavior, 76, 287–293. https://doi.org/10.1016/j.chb.2017.07.033
Kaufman, J., Birmaher, B., Axelson, D., Perepletchikova, F., Brent, D., & Ryan, N. (2016). Schedule for affective disorders and schizophrenia for School aged children (6–18 Years)—Lifetime Version for DSM-V. Retrieved from https://www.kennedykrieger.org/sites/default/files/community_files/ksads-dsm-5-screener.pdf
Kelly, L., Keaten, J. A., Becker, B., Cole, J., Littleford, L., & Rothe, B. (2012). "It’s the American lifestyle!”: An investigation of text messaging by college students. Qualitative Research Reports in Communication, 13, 1–9. https://doi.org/10.1080/17459435.2012.719203
Kingsbury, M., & Coplan, R. J. (2016). RU mad @ me? Social anxiety and interpretation of ambiguous text messages. Computers in Human Behavior, 54, 368–379. https://doi.org/10.1016/j.chb.2015.08.032
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. https://doi.org/10.1037/a0035618
Landoll, R. R., La Greca, A. M., Lai, B. S., Chan, S. F., & Herge, W. M. (2015). Cyber victimization by peers: Prospective associations with adolescent social anxiety and depressive symptoms. Journal of Adolescence, 42, 77–86. https://doi.org/10.1016/j.adolescence.2015.04.002
Laurent, J., Catanzaro, S. J., Joiner, T. E., Jr., Rudolph, K. D., Potter, K. I., Lambert, S., & Gathright, T. (1999). A measure of positive and negative affect for children: Scale development and preliminary validation. Psychological Assessment, 11(3), 326–338. https://doi.org/10.1037/1040-3590.11.3.326
Monga, S., Birmaher, B., Chiappetta, L., Brent, D., Kaufman, J., Bridge, J., & Cully, M. (2000). Screen for Child Anxiety-Related Emotional Disorders (SCARED): Convergent and divergent validity. Depression and Anxiety, 12(2), 85–91. https://doi.org/10.1002/1520-6394(2000)12:2%3c85::AID-DA4%3e3.0.CO;2-2
Muris, P., & Meesters, C. (2009). Reactive and regulative temperament in youths: Psychometric evaluation of the Early Adolescent Temperament Questionnaire-Revised. Journal of Psychopathology and Behavioral Assessment, 31(1), 7–19.
Myruski, S., Quintero, J. M., Denefrio, S., & Dennis-Tiwary, T. A. (2019). Through a Screen Darkly: Use of Computer-Mediated Communication Predicts Emotional Functioning. Psychol Rephttps://doi.org/10.1177/0033294119859779
Nelson, E. E., Leibenluft, E., McClure, E. B., & Pine, D. S. (2005). The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology. Psychological Medicine, 35(2), 163–174.
Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018a). Transformation of adolescent peer relations in the social media context: Part 1-A Theoretical framework and application to dyadic peer relationships. Clinical Child and Family Psychology Review, 21(3), 267–294. https://doi.org/10.1007/s10567-018-0261-x
Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018b). Transformation of Adolescent Peer Relations in the Social Media Context: Part 2-Application to Peer Group Processes and Future Directions for Research. Clinical Child and Family Psychology Review, 21(3), 295–319. https://doi.org/10.1007/s10567-018-0262-9
Nick, E. A., Cole, D. A., Cho, S. J., Smith, D. K., Carter, T. G., & Zelkowitz, R. L. (2018). The Online Social Support Scale: Measure development and validation. Psychological Assessment, 30(9), 1127–1143. https://doi.org/10.1037/pas0000558
Olsen, M. K., & Schafer, J. L. (2001). A two-part random effects model for semicontinuous longitudinal data. Journal of the American Statistical Association, 96, 730–745.
Petersen, A. C., Crockett, L., Richards, M., & Boxer, A. (1988). A self-report measure of pubertal status: Reliability, validity, and initial norms. Journal of Youth and Adolescence, 17, 117–133.
Pierce, T. (2009). Social anxiety and technology: Face-to-face communication versus technological communication among teens. Computers in Human Behavior, 25, 1367–1372. https://doi.org/10.1016/j.chb.2009.06.003
Rains, S. A., & Wright, K. B. (2016). Social Support and Computer-Mediated Communication: A State-of-the-Art Review and Agenda for Future Research. Annals of the International Communication Association, 40, 175–211. https://doi.org/10.1080/23808985.2015.11735260
Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Safe.
Reid, F. J., & Reid, D. J. (2010). The expressive and conversational affordances of mobile messaging. Behaviour & Information Technology, 29, 3–22. https://doi.org/10.1080/01449290701497079
Rose, A. J., & Rudolph, K. D. (2006). A review of sex differences in peer relationship processes: potential trade-offs for the emotional and behavioral development of girls and boys. Psychological Bulletin, 132(1), 98–131. https://doi.org/10.1037/0033-2909.132.1.98
Rudolph, K. D. (2002). Gender differences in emotional responses to interpersonal stress during adolescence. Journal of Adolescent Health, 30(4 Suppl), 3–13. https://doi.org/10.1016/s1054-139x(01)00383-4
Rus, H. M., & Tiemensma, J. (2017). Social Media under the Skin: Facebook Use after Acute Stress Impairs Cortisol Recovery. Frontiers in Psychology, 8, 1609. https://doi.org/10.3389/fpsyg.2017.01609
Sauter, D. A. (2017). The Nonverbal Communication of Positive Emotions: An Emotion Family Approach. Emotion Review, 9(3), 222–234. https://doi.org/10.1177/1754073916667236
Schriber, R. A., & Guyer, A. E. (2016). Adolescent neurobiological susceptibility to social context. Developmental Cognitive Neuroscience, 19, 1–18. https://doi.org/10.1016/j.dcn.2015.12.009
Schwerdtfeger, A. R., Rominger, C., & Obser, P. D. (2020). A shy heart may benefit from everyday life social interactions with close others: An ecological momentary assessment trial using Bayesian multilevel modeling. Biological Psychology, 152, 107864. https://doi.org/10.1016/j.biopsycho.2020.107864
Shapiro, L. A., & Margolin, G. (2014). Growing Up Wired: Social Networking Sites and Adolescent Psychosocial Development. Clinical Child and Family Psychology Review, 17(1), 1–18.
Shensa, A., Sidani, J. E., Escobar-Viera, C. G., Switzer, G. E., Primack, B. A., & Choukas-Bradley, S. (2020). Emotional support from social media and face-to-face relationships: Associations with depression risk among young adults. Journal of Affective Disorders, 260, 38–44. https://doi.org/10.1016/j.jad.2019.08.092
Sherman, L. E., Michikyan, M., & Greenfield, P. M. (2013). The effects of text, audio,video, and in-person communication on bonding between friends. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 7, (3) https://doi.org/10.5817/CP2013-2-3
Shirtcliff, E. A., Dahl, R. E., & Pollak, S. D. (2009). Pubertal development: correspondence between hormonal and physical development. Child Development, 80(2), 327–337. https://doi.org/10.1111/j.1467-8624.2009.01263.x
Silk, J. S., Stroud, L. R., Siegle, G. J., Dahl, R. E., Lee, K. H., & Nelson, E. E. (2012). Peer acceptance and rejection through the eyes of youth: pupillary, eyetracking and ecological data from the Chatroom Interact task. Social Cognitive and Affective Neuroscience, 7(1), 93–105. https://doi.org/10.1093/scan/nsr044
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. https://doi.org/10.1007/s10964-012-9867-3
Thorisdottir, I. E., Sigurvinsdottir, R., Asgeirsdottir, B. B., Allegrante, J. P., & Sigfusdottir, I. D. (2019). Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents. Cyberpsychology, Behavior, & Social Networking, 22(8), 535–542. https://doi.org/10.1089/cyber.2019.0079
Trepte, S., Dienlin, T., & Reinecke, L. (2015). Influence of social support received in online and offline contexts on satisfaction with social support and satisfaction with life: A longitudinal study. Media Psychology, 18, 74–105. https://doi.org/10.1080/15213269.2013.838904
Valkenburg, P., & Peter, J. (2009). Social Consequences of the Internet for Adolescents: A Decade of Research. Current Directions in Psychological Science, 18, 1–5. https://doi.org/10.1111/j.1467-8721.2009.01595.x
Valkenburg, P. M., & Peter, J. (2011). Online communication among adolescents: an integrated model of its attraction, opportunities, and risks. Journal of Adolescent Health, 48(2), 121–127. https://doi.org/10.1016/j.jadohealth.2010.08.020
Valkenburg, P. M., Sumter, S. R., & Peter, J. (2011). Gender differences in online and offline self-disclosure in pre-adolescence and adolescence. British Journal of Developmental Psychology, 29(Pt 2), 253–269. https://doi.org/10.1348/2044-835X.002001
Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 207, 163–166. https://doi.org/10.1016/j.jad.2016.08.040
Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., & Kross, E. (2015). Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. Journal of Experimental Psychology: General, 144(2), 480–488. https://doi.org/10.1037/xge0000057
Waasdorp, T. E., & Bradshaw, C. P. (2015). The overlap between cyberbullying and traditional bullying. Journal of Adolescent Health, 56(5), 483–488. https://doi.org/10.1016/j.jadohealth.2014.12.002
Walther, J. B. (2011). Theories of computer-mediated communication and interpersonal relations. In M. L. Knapp & A. Daly (Eds.), The handbook of interpersonal communication (4th ed.). Washington, DC: Sage.
Waytz, A., & Gray, K. (2018). Does Online Technology Make Us More or Less Sociable? A Preliminary Review and Call for Research. Perspectives on Psychological Science, 13(4), 473–491. https://doi.org/10.1177/1745691617746509
Weinstein, E. (2018). The social media see-saw: Positive and negative influences on adolescents’ affective well-being. New Media & Society, 20,3597–3623.https://doi.org/10.1177/1461444818755634
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This research was funded by National Institute of Mental health (NIMH) grant (MH103241; MPI: Silk, Ladouceur). Jessica L. Hamilton was supported by a fellowship from the National Heart Lung Blood Institute (T32 HL082610) and funding from the National Institute of Mental Health (K01MH121584; L30MH117642).
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Jessica L. Hamilton conceived of this study, conducted data analysis, and drafted the manuscript. Quyen Do assisted with data collection, assisted with data analyses, and helped draft the manuscript. Sophia Choukas-Bradley provided critical feedback on the manuscript and assisted with interpretation of study findings. Jennifer Silk and Cecile Ladouceur conceived of the overall study design, collected the data, and provided valuable feedback on the manuscript drafts.
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Hamilton, J.L., Do, Q.B., Choukas-Bradley, S. et al. Where it Hurts the Most: Peer Interactions on Social Media and in Person are Differentially Associated with Emotional Reactivity and Sustained Affect Among Adolescent Girls. Res Child Adolesc Psychopathol 49, 155–167 (2021). https://doi.org/10.1007/s10802-020-00725-5
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DOI: https://doi.org/10.1007/s10802-020-00725-5