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Allgemeine und spezifische Entwicklung von Cybermobbing unter Jugendlichen

Ergebnisse aus repräsentativen Befragungen unter niedersächsischen Schülerinnen und Schülern

Published Online:https://doi.org/10.1026/0942-5403/a000304

Zusammenfassung. Obgleich angesichts steigender Ausstattungsquoten Jugendlicher mit digitalen Medien davon ausgegangen werden kann, dass die Prävalenzraten für das Phänomen Cybermobbing (CM) steigen, liegen bisher kaum belastbare Prävalenzschätzungen und Zeitreihen für Deutschland vor. Anhand repräsentativer Befragungen aus den Jahren 2013, 2015 und 2017 im Bundesland Niedersachsen soll im Rahmen des Beitrags der zeitliche Verlauf des Phänomens untersucht werden. Die Ergebnisse zeigen, dass CM-Viktimisierung über die Beobachtungsjahre statistisch bedeutsam ansteigt. Anhand differenzierter Analysen kann zudem belegt werden, dass es hinsichtlich des Geschlechts zu einer Angleichung kommt und die Gruppe der Jugendlichen mit Migrationshintergrund zunehmend betroffen ist. Im Hinblick auf die CM-Täterschaft erweist sich der zeitliche Trend als weitgehend stabil. Allerdings weisen die Analysen darauf hin, dass für männliche Befragte wie für Jugendliche mit Migrationshintergrund steigende Prävalenzraten zu beobachten sind.


General and Specific Trends in Cyberbullying: Results of Representative Surveys Among Pupils in Lower Saxony

Abstract. Definitions of cyberbullying (CB) in the literature are largely heterogeneous. Nevertheless, there seems to be a general consensus that cyberbullying involves continuing and intentional behaviors with the purpose of inflicting direct or indirect harm. In contrast to offline bullying, cyberbullying perpetrators degrade their target‍(s) using digital communication media such as chats, news groups, E-Mails, and social networks (e. g., Facebook or Instagram) or video platforms (e. g., YouTube). Cyberbullying is especially prevalent among adolescents. The estimated prevalence varies depending on the informant (teachers, parents, self-report) as well as on the sampling methodology (online survey, representative survey) and the age groups included in the study. The personal suffering induced by adolescent cyberbullying is comparable in severity to that of offline bullying. Given the increasing availability and time investment in the area of social media, an increase in cyberbullying prevalence might be expected. However, reliable current statistics for the Federal Republic of Germany are scarce. The present study presents data stemming from three representative surveys among ninth-grade students in Lower Saxony. In 2013, 9,512 adolescents from 485 classes were interviewed, which corresponds to a response rate of 64.4 % (50.7 % male, 24.3 % migration background). In 2015, 10,638 adolescents from 545 classes (response rate 68.5 %; 50.1 % male, 24.0 % migration background), and in 2017 8,938 adolescents from 479 classes were reached (response rate: 59.2 %; 49.0 % male, 27.7 % migration background). On the basis of these surveys the temporal development of cyberbullying is investigated. Cyberbulling was recorded by examining four different statements on different facets (harassment, denigration, trickery, exclusion) of the phenomenon. Our results suggest that cyberbullying victimization significantly increased between 2013 and 2017. While the prevalence in 2013 was 3.6 %, it increased to 6.1 % in 2017. According to further analyses, the victimization rates of boys and girls seem to level whereas victimization rates among adolescents with a migration background increased. With regard to cyberbullying perpetration, the temporal trend is largely stable. More nuanced analyses suggest an increase in the prevalence for male adolescents as well as for those with a migration background, while prevalence rates appear to be decreasing for female adolescents as well as those without a migration background. This divergence is potentially informative regarding prevention efforts and suggests the conception of target group-specific interventions and programs. Furthermore, the idea of routine diagnostic assessments in schools can be suggested. Regular and mandatory screening surveys could help to identify problem constellations at the earliest possible stage and can help to provide adequate care for those affected in a timely manner.

Literatur

  • Archer, J. & Coyne, S. M. (2005). An integrated review of indirect, relational, and social aggression. Personality and Social Psychology Review, 9, 212 – 230. First citation in articleCrossrefGoogle Scholar

  • Baier, D., Hong, J. S., Kliem, S. & Bergmann, M. C. (2019). Consequences of bullying on adolescents’ mental health in Germany: Comparing face-to-face bullying and cyberbullying. Journal of Child and Family Studies 28, 2347 – 2357. First citation in articleCrossrefGoogle Scholar

  • Balakrishnan, V. (2015). Cyberbullying among young adults in Malaysia: The roles of gender, age and Internet frequency. Computers in Human Behavior, 46, 149 – 157. First citation in articleCrossrefGoogle Scholar

  • Barlett, C. & Coyne, S. M. (2014). A meta‐analysis of sex differences in cyber‐bullying behavior: The moderating role of age. Aggressive Behavior, 40, 474 – 488. First citation in articleCrossrefGoogle Scholar

  • Bergmann, M. C., Kliem, S., Krieg, Y. & Beckmann, L. (2019). Jugendliche in Niedersachsen. Ergebnisse des Niedersachsensurveys 2017 (KFN-Forschungsberichte Nr. 144). Hannover: Kriminologisches Forschungsinstitut Niedersachsen. First citation in articleGoogle Scholar

  • 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, 685 – 697. First citation in articleCrossrefGoogle Scholar

  • Dooley, J. J., Pyżalski, J. & Cross, D. (2009). Cyberbullying versus face-to-face bullying: A theoretical and conceptual review. Zeitschrift für Psychologie/Journal of Psychology, 217, 182 – 188. First citation in articleLinkGoogle Scholar

  • Enders, C. K. & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430 – 457. First citation in articleCrossrefGoogle Scholar

  • Hinduja, S. & Patchin, J. W. (2008). Cyberbullying: An exploratory analysis of factors related to offending and victimization. Deviant Behavior, 29, 129 – 156. First citation in articleCrossrefGoogle Scholar

  • Jantzer, V., Haffner, J., Parzer, P. & Resch, F. (2012). Opfer von Bullying in der Schule. Depressivität, Suizidalität und selbstverletzendes Verhalten bei deutschen Jugendlichen. Kindheit und Entwicklung, 21, 40 – 46. First citation in articleLinkGoogle Scholar

  • Kliem, S., Baier, D. & Bergmann, M. C. (2018). Prävalenz grenzüberschreitender Verhaltensweisen in romantischen Beziehungen unter Jugendlichen (Teen-Dating-Violence): Ergebnisse einer niedersachsenweit repräsentativen Befragung. Kindheit und Entwicklung, 27, 110 – 125. First citation in articleLinkGoogle Scholar

  • Kliem, S., Krieg, Y., Kudlacek, D., Baier, D. & Bergmann, M. C. (2018). Zur Prävalenz rechtsextremer Einstellungen bei Jugendlichen. Ergebnisse einer repräsentativen Befragung in Niedersachsen. In O. DeckerE. Brähler (Hrsg.), Flucht ins Autoritäre: Rechtsemtreme Dynamiken in der Mitter der Gesellschaft (S. 307 – 321). Gießen: Psychosozial Verlag. First citation in articleGoogle Scholar

  • Krieg, Y. & Kliem, S. (2019). Rechtsextremismus unter Jugendlichen in Niedersachsen. Monatsschrift für Kriminologie und Strafrechtsreform, 102, 135 – 153. First citation in articleCrossrefGoogle Scholar

  • Moore, M. J., Nakano, T., Enomoto, A. & Suda, T. (2012). Anonymity and roles associated with aggressive posts in an online forum. Computers in Human Behavior, 28, 861 – 867. First citation in articleCrossrefGoogle Scholar

  • Olweus, D. (1993). Understanding children’s worlds. Bullying at school: What we know and what we can do. Malden: Blackwell Publishing. First citation in articleGoogle Scholar

  • Olweus, D. & Limber, S. P. (2010). The Olweus Bullying Prevention Program: Implementation and evaluation over two decades. In S. R. JimersoS. M. SwearerD. L. Espelage (Eds.), Handbook of bullying in schools: An international perspective (pp. 377 – 401). New York: Routledge/Taylor & Francis Group. First citation in articleGoogle Scholar

  • Patchin, J. W. & Hinduja, S. (2015). Measuring cyberbullying: Implications for research. Aggression and Violent Behavior, 23, 69 – 74. First citation in articleCrossrefGoogle Scholar

  • Petermann, F. & Marées, N. v. (2013). Cyber-Mobbing: Eine Bestandsaufnahme. Kindheit und Entwicklung, 22, 145 – 154. First citation in articleLinkGoogle Scholar

  • Pieschl, S. & Porsch, T. (2012). Schluss mit Cybermobbing! Das Trainings- und Präventionsprogramm „Surf-Fair“. Weinheim: Beltz. First citation in articleGoogle Scholar

  • Schultze-Krumbholz, A., Zagorscak, P., Roosen-Runge, A. & Scheithauer, H. (2018). Medienhelden. Unterrichtsmanual zur Förderung von Medienkompetenz und Prävention von Cyberbullying (2. Aufl.). München: Reinhardt. First citation in articleGoogle Scholar

  • Rodríguez-Hidalgo, A. J., Ortega-Ruiz, R. & Zych, I. (2014). Peer victimization and ethnic-cultural peer victimization: Self-esteem and school relations between different cultural groups of students in Andalusia, Spain. Revista de Psicodidáctica, 19, 191 – 210. First citation in articleCrossrefGoogle Scholar

  • Sitzer, P., Marth, J., Kocik, C. & Müller, K. N. (2012). Cyberbullying bei Schülern und Schülerinnen. Ergebnisbericht einer Online-Studie. Bielefeld: Institut für Interdisziplinäre Konflikt- und Gewaltforschung. First citation in articleGoogle Scholar

  • Slonje, R. & Smith, P. K. (2008). Cyberbullying: Another main type of bullying? Scandinavian Journal of Psychology, 49, 147 – 154. First citation in articleCrossrefGoogle Scholar

  • 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, 376 – 385. First citation in articleCrossrefGoogle Scholar

  • Sourander, A., Klomek, A. B., Ikonen, M., Lindroos, J., Luntamo, T., Koskelainen, M. & Helenius, H. (2010). Psychosocial risk factors associated with cyberbullying among adolescents: A population-based study. Archives of General Psychiatry, 67, 720 – 728. First citation in articleCrossrefGoogle Scholar

  • Spears, B., Slee, P., Owens, L. & Johnson, B. (2009). Behind the scenes and screens: Insights into the human dimension of covert and cyberbullying. Zeitschrift für Psychologie/Journal of Psychology, 217, 189 – 196. First citation in articleLinkGoogle Scholar

  • Strohmeier, D., Kärnä, A. & Salmivalli, C. (2011). Intrapersonal and interpersonal risk factors for peer victimization in immigrant youth in Finland. Developmental Psychology, 47, 248 – 287. First citation in articleCrossrefGoogle Scholar

  • Sun, S., Fan, X. & Du, J. (2016). Cyberbullying perpetration: A meta-analysis of gender differences. International Journal of Internet Science, 11, 61 – 81. First citation in articleGoogle Scholar

  • Suter, L., Waller, G., Bernath, J., Külling, C., Willemse, I. & Süss, D. (2018). JAMES – Jugend, Aktivitäten, Medien – Erhebung Schweiz. Zürich: Zürcher Hochschule für Angewandte Wissenschaften. First citation in articleGoogle Scholar

  • Wachs, S. & Wolf, K. D. (2011). Zusammenhänge zwischen Cyberbullying und Bullying. Erste Ergebnisse aus einer Selbstberichtsstudie. Praxis der Kinderpsychologie und Kinderpsychiatrie, 60, 735 – 744. First citation in articleCrossrefGoogle Scholar

  • Wolke, D., Woods, S., Stanford, K. & Schulz, H. (2001). Bullying and victimization of primary school children in England and Germany: Prevalence and school factors. British Journal of Psychology, 92, 673 – 696. First citation in articleCrossrefGoogle Scholar

  • Wong, R. Y., Cheung, C. M., Xiao, B. S. & Chan, T. K. (2015, July). The Instigating, impelling, and inhibiting forces in cyberbullying perpetration across gender. Paper presented at PACIS 2015 Proceedings 109, Singapore. First citation in articleGoogle Scholar

  • Ybarra, M. L. & Mitchell, K. J. (2004). Youth engaging in online harassment: Associations with caregiver-child relationships, Internet use, and personal characteristics. Journal of Adolescence, 27, 319 – 336. First citation in articleCrossrefGoogle Scholar