Abstract
In the present study, we tested the effectiveness of a Theory of Planned Behavior-based cyberbullying bystander video on three outcomes: joining the bully, helping the victim, and doing nothing as compared to a control group. University students (M = 23.68 years old; female = 78.7%), were randomly assigned to a cyberbullying bystander (n = 113) or an alcohol control (n = 112) video. The bystander video showed students defining and depicting four types of cyberbullying (malice, public humiliation, deception, and unwanted contact) with bystanders present and giving suggestions for positive responses when witnessing cyberbullying. Participants completed surveys prior to viewing the video, immediately following the video, and 1 month later. Positive attitudes, favorable injunctive norms, and perceived behavioral control regarding doing nothing when witnessing cyberbullying were significantly lower for the cyberbullying than control group immediately following the video. Further, the experimental group reported higher intentions to help the victim and lower intentions to do nothing when witnessing cyberbullying compared to the control group. Although mean differences for some of these effects were in the same direction at 1-month follow-up, no significant differences were found. Findings are discussed in terms of implications and future directions for cyberbullying intervention programs targeting improvements in bystander behavior.
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References
Ajzen, I. (1985). From intentions to actions: a theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11–39). Germany: Springer-Verlag.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2006). Constructing a TpB questionnaire: conceptual and methodological considerations. http://people.umass.edu/aizen/pdf/tpb.measurement.pdf. Accessed February 28, 2010.
Alipan, A., Skues, J. L., Theiler, S., & Wise, L. (2019). Defining cyberbullying: a multifaceted definition based on the perspectives of emerging adults. International Journal of Bullying Prevention, 1–14. https://doi.org/10.1007/s42380-019-00018-6.
Balakrishnan, V. (2015). Cyberbullying among young adults in Malaysia: the roles of gender, age and Internet frequency. Computers in Human Behavior, 46, 149–157. https://doi.org/10.1016/j.chb.2015.01.021.
Bandura, A. (2001). Social cognitive theory of mass communication. Media Psychology, 3, 265–299. https://doi.org/10.1207/S1532785XMEP0303_03.
Banyard, V. L., Moynihan, M. M., & Plante, E. G. (2007). Sexual violence prevention through bystander education: an experimental evaluation. Journal of Community Psychology, 35, 463–481. https://doi.org/10.1002/jcop.20159.
Barlińska, J., Szuster, A., & Winiewski, M. (2013). Cyberbullying among adolescent bystanders: role of the communication medium, form of violence, and empathy. Journal of Community & Applied Social Psychology, 23, 37–51. https://doi.org/10.1002/casp.2137.
Barlińska, J., Szuster, A., & Winiewski, M. (2015). The role of short- and long-term cognitive empathy activation in preventing cyberbystander reinforcing cyberbullying behavior. Cyberpsychology, Behavior, And Social Networking, 18, 241–244. https://doi.org/10.1089/cyber.2014.0412.
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, 259–371. https://doi.org/10.1016/j.chb.2013.10.036.
Bastiaensens, S., Pabian, S., Vandebosch, H., Poels, K., Van Cleemput, K., DeSmet, A., & De Bourdeaudhuij, I. (2016). From normative influence to social pressure: how relevant others affect whether bystanders join in cyberbullying. Social Development, 25, 193–211. https://doi.org/10.1111/sode.12134.
Bauman, S., & Baldasare, A. (2015). Cyber aggression among college students: demographic differences, predictors of distress, and the role of the university. Journal of College Student Development, 56, 317–330. https://doi.org/10.1353/csd.2015.0039.
Davis, M. H. (1994). Empathy: a social psychological approach. Dubugue, IA: Westview Press.
DeSmet, A., Bastiaensens, S., Van Cleemput, K., Poels, K., Vandebosch, H., Deboutte, G., et al. (2018). The efficacy of the Friendly Attac serious digital game to promote prosocial bystander behavior in cyberbullying among young adolescents: a cluster-randomized controlled trial. Computers in Human Behavior, 78, 336–347. https://doi.org/10.1016/j.chb.2017.10.011.
DeSmet, A., Veldeman, C., Poels, K., Bastiaensens, S., Van Cleemput, K., Vandebosch, H., & De Bourdeaudhuij, I. (2014). Determinants of self-reported bystander behavior in cyberbullying incidents amongst adolescents. Cyberpsychology, Behavior, and Social Networking, 17, 207–215. https://doi.org/10.1089/cyber.2013.0027.
Doane A. N., Kelley M. L., Chiang E. S., & Padilla M. A. (2013) Development of the Cyberbullying Experiences Survey. Emerging Adulthood 1(3):207-218.
Doane A. N., Pearson M. R., & Kelley M. L. (2014) Predictors of cyberbullying perpetration among college students: An application of the Theory of Reasoned Action. Computers in Human Behavior 36:154-162.
Doane A. N., Kelley M. L., & Pearson M. R. (2016) Reducing cyberbullying: A theory of reasoned action-based video prevention program for college students. Aggressive Behavior 42(2):136–146.
Ehman, A. C., & Gross, A. M. (2019). Sexual cyberbullying: review, critique, & future directions. Aggression & Violent Behavior, 44, 80–87. https://doi.org/10.1016/j.avb.2018.11.001.
Erceg-Hurn, D. M., & Mirosevich, V. M. (2008). Modern robust statistical methods: an easy way to maximize the accuracy and power of your research. American Psychologist, 65, 591–601. https://doi.org/10.1037/0003-066X.63.7.591.
Efron, B., & Tibshirani, R. (1993). An introduction to the bootstrap. New York: Chapman and Hall.
Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: the reasoned action approach. New York, NY: Psychology Press (Taylor & Francis).
Gahagan, K., Vaterlaus, J. M., & Frost, L. R. (2016). College student cyberbullying on social networking sites: conceptualization, prevalence, and perceived bystander responsibility. Computers in Human Behavior, 55, 1097–1105. https://doi.org/10.1016/j.chb.2015.11.019.
Heirman,W., & Walrave, M. (2012). Predicting adolescent perpetration in cyberbullying: an application of the Theory of Planned Behavior. Psicothema, 24(4), 614–620.
Hinduja, S., & Patchin, J. W. (2009). Bullying Beyond the Schoolyard: Preventing and Responding to Cyberbullying. Thousand Oaks, CA: Corwin Press.
Holfeld, B. (2014). Perceptions and attributions of bystanders to cyber bullying. Computers in Human Behavior, 38, 1–7. https://doi.org/10.1016/j.chb.2014.05.012.
Huang, Y. Y., & Chou, C. (2010). An analysis of multiple factors of cyberbullying among junior high school students in Taiwan. Computers in Human Behavior, 26, 1581–1590. https://doi.org/10.1016/j.chb.2010.06.005.
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, 1073–1137. https://doi.org/10.1037/a0035618.
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Reese, H. H. (2012). Cyber bullying amongst college students: evidence from multiple domains of college life. In L. A. Wankel & C. Wankel (Eds.), Misbehavior online in higher education (pp. 293–321). Bingley: Emerald Group Publishing.
Latané, B., & Darley, J. M. (1970). The unresponsive bystander: Why doesn’t he help? Englewood Cliffs, NJ: Prentice Hill.
Lee, E. B. (2017). Cyberbullying: prevalence and predictors among African American young adults. Journal of Black Studies, 48, 57–73. https://doi.org/10.1177/0021934716678393.
Lee, M., Zi-Pei, W., Svanström, L., & Dalal, K. (2013). Cyber bullying prevention: Intervention in Taiwan. PLoS ONE, 8, e64031. https://doi.org/10.1371/journal.pone.0064031.
Li, Q. (2010). Cyberbullying in high schools: a study of students’ behaviors and beliefs about this new phenomenon. Child and Adolescent Aggression and Maltreatment, 19, 372–392. https://doi.org/10.1080/10926771003788979.
Macháčková, H., Dedkova, L., Sevcikova, A., & Cerna, A. (2013). Bystanders’ support of cyberbullied schoolmates. Journal of Community & Applied Social Psychology, 23, 25–36. https://doi.org/10.1002/casp.2135.
Machackova, H., & Pfetsch, J. (2016). Bystanders’ responses to offline bullying and cyberbullying: the role of empathy and normative beliefs about aggression. Scandinavian Journal of Psychology, 57, 169–176. https://doi.org/10.1111/sjop.12277.
Menesini, E., Nocentini, A., & Palladino, B. E. (2012). Empowering students against bullying and cyberbullying: evaluation of an Italian peer-led model. International Journal of Conflict and Violence, 6, 314–321. https://doi.org/10.4119/UNIBI/ijcv.253.
Midgett, A., Doumas, D., Sears, D., Lundquist, A., & Hausheer, R. (2015). A bystander bullying psychoeducation program with middle school students: a preliminary report. The Professional Counselor, 5, 486–500. https://doi.org/10.15241/am.5.4.486.
Myers, C., & Cowie, H. (2017). Bullying at university: the social and legal contexts of cyberbullying among university students. Journal of Cross-Cultural Psychology, 48, 1172–1182. https://doi.org/10.1177/0022022116684208.
Nickerson, A. B., Aloe, A. M., Livingston, J. A., & Feeley, T. H. (2014). Measurement of the bystander intervention model for bullying and sexual harassment. Journal of Adolescence, 37(4), 391–400. https://doi.org/10.1016/j.adolescence.2014.03.003.
Olweus, D., & Endresen, I. M. (1998). The importance of sex-of-stimulus object: age trends and sex differences in empathic responsiveness. Social Development, 7, 370–388. https://doi.org/10.1111/1467-9507.00073.
Palladino, B. E., Nocentini, A., & Menesini, E. (2016). Evidence-based intervention against bullying and cyberbullying: evaluation of the NoTrap! program in two independent trials. Aggressive Behavior, 42, 194–206. https://doi.org/10.1002/ab.21636.
Rigby, K. (2008). Children and bullying: How parents and educators can reduce bullying at school. Boston, MA: Blackwell/Wiley.
Salmivalli, C., Kärnä, A., & Poskiparta, E. (2011). Counteracting bullying in Finland: the KiVa program and its effects on different forms of being bullied. International Journal of Behavioral Development, 35, 405–411. https://doi.org/10.1177/0165025411407457.
Schacter, H. L., Greenberg, S., & Juvonen, J. (2016). Who’s to blame? The effects of victim disclosure on bystander reactions to cyberbullying. Computers in Human Behavior, 57, 115–121. https://doi.org/10.1016/j.chb.2015.11.018.
Selkie, E. M., Kota, R., Chan, Y. F., & Moreno, M. (2015). Cyberbullying, depression, and problem alcohol use in female college students: a multisite study. Cyberpsychology, Behavior, and Social Networking, 18, 79–86. https://doi.org/10.1089/cyber.2014.0371.
Steffgen, G., Costa, A. P., & Slee, P. (2018). The copying of bystanders with cyberbullying in an adolescent population. In P. T. Slee, G. Skrzypiec, & C. Cefai (Eds.), Child and adolescent wellbeing and violence prevention in schools (pp. 129–137). Abingdon, Oxon: Routledge.
Tokunaga, R. S. (2010). Following you home from school: a critical review and synthesis of research on cyberbullying victimization. Computers in Human Behavior, 26, 277–287. https://doi.org/10.1016/j.chb.2009.11.014.
Van Cleemput, K., Vandebosch, H., & Pabian, S. (2014). Personal characteristics and contextual factors that determine “helping,” “joining in,” and “doing nothing” when witnessing cyberbullying. Aggressive Behavior, 40, 383-396. https://doi.org/10.1002/ab.21534.
Vandebosch, H., & Van Cleemput, K. (2009). Cyberbullying among youngsters: profiles of bullies and victims. New Media & Society, 11, 1349–1371. https://doi.org/10.1177/1461444809341263.
Varghese, M. E., & Pistole, M. C. (2017). College student cyberbullying: self-esteem, depression, loneliness, and attachment. Journal of College Counseling, 20, 7–21. https://doi.org/10.1002/jocc.12055.
Whittaker, E., & Kowalski, R. M. (2015). Cyberbullying via social media. Journal of School Violence, 14, 11–29. https://doi.org/10.1080/15388220.2014.949377.
Williford, A., Elledge, L. C., Boulton, A. J., DePaolis, K. J., Little, T. D., & Salmivalli, C. (2014). Effects of the KiVa Antibullying program on cyberbullying and cybervictimization frequency among Finnish youth. Journal of Clinical Child & Adolescent Psychology, 42, 820–833. https://doi.org/10.1080/15374416.2013.787623.
Wölfer, R., Schultze-Krumbholtz, A., Zagorscak, P., Jäkel, A., Göbel, K., & Scheithauer, H. (2014). Prevention 2.0: Targeting cyberbullying @ school. Prevention Science, 15, 879–887. https://doi.org/10.1007/s11121-013-0438-y.
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Doane, A.N., Ehlke, S. & Kelley, M.L. Bystanders Against Cyberbullying: a Video Program for College Students. Int Journal of Bullying Prevention 2, 41–52 (2020). https://doi.org/10.1007/s42380-019-00051-5
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DOI: https://doi.org/10.1007/s42380-019-00051-5