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Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model

Author

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  • Paul Benjamin Lowry

    (Faculty of Business and Economics, University of Hong Kong, Pokfulam, Hong Kong)

  • Jun Zhang

    (Faculty of Business and Economics, University of Hong Kong, Pokfulam, Hong Kong)

  • Chuang Wang

    (School of Business Administration, South China University of Technology, 510641 Guangzhou, China)

  • Mikko Siponen

    (Department of Computer Science and Information Systems, Faculty of Information Technology, University of Jyväskylä, 40014 Jyväskylä, Finland)

Abstract

The dramatic increase in social media use has challenged traditional social structures and shifted a great deal of interpersonal communication from the physical world to cyberspace. Much of this social media communication has been positive: Anyone around the world who has access to the Internet has the potential to communicate with and attract a massive global audience. Unfortunately, such ubiquitous communication can be also used for negative purposes such as cyberbullying, which is the focus of this paper. Previous research on cyberbullying, consisting of 135 articles, has improved the understanding of why individuals—mostly adolescents—engage in cyberbullying. However, our study addresses two key gaps in this literature: (1) how the information technology (IT) artifact fosters/inhibits cyberbullying and (2) why people are socialized to engage in cyberbullying. To address these gaps, we propose the social media cyberbullying model (SMCBM), which modifies Akers’ [Akers RL (2011) Social Learning and Social Structure: A General Theory of Crime and Deviance , 2nd ed. (Transaction Publishers, New Brunswick, NJ)] social structure and social learning model. Because Akers developed his model for crimes in the physical world, we add a rich conceptualization of anonymity composed of five subconstructs as a key social media structural variable in the SMCBM to account for the IT artifact. We tested the SMCBM with 1,003 adults who have engaged in cyberbullying. The empirical findings support the SMCBM. Heavy social media use combined with anonymity facilitates the social learning process of cyberbullying in social media in a way that fosters cyberbullying. Our results indicate new directions for cyberbullying research and implications for anticyberbullying practices.

Suggested Citation

  • Paul Benjamin Lowry & Jun Zhang & Chuang Wang & Mikko Siponen, 2016. "Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model," Information Systems Research, INFORMS, vol. 27(4), pages 962-986, December.
  • Handle: RePEc:inm:orisre:v:27:y:2016:i:4:p:962-986
    DOI: 10.1287/isre.2016.0671
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    References listed on IDEAS

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    4. Wang, Lin & Ngai, Steven Sek-yum, 2020. "The effects of anonymity, invisibility, asynchrony, and moral disengagement on cyberbullying perpetration among school-aged children in China," Children and Youth Services Review, Elsevier, vol. 119(C).
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    8. Shuaa A. Aljasir & Maisoon O. Alsebaei, 2022. "Cyberbullying and cybervictimization on digital media platforms: the role of demographic variables and parental mediation strategies," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
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    10. Ae Ri Lee, 2021. "Investigating Moderators of the Influence of Enablers on Participation in Knowledge Sharing in Virtual Communities," Sustainability, MDPI, vol. 13(17), pages 1-16, September.
    11. Arnett, Rachel D. & Sidanius, Jim, 2018. "Sacrificing status for social harmony: Concealing relatively high status identities from one’s peers," Organizational Behavior and Human Decision Processes, Elsevier, vol. 147(C), pages 108-126.
    12. Tommy K. H. Chan & Christy M. K. Cheung & Izak Benbasat & Bo Xiao & Zach W. Y. Lee, 2023. "Bystanders Join in Cyberbullying on Social Networking Sites: The Deindividuation and Moral Disengagement Perspectives," Information Systems Research, INFORMS, vol. 34(3), pages 828-846, September.
    13. Melina A. Throuvala & Mark D. Griffiths & Mike Rennoldson & Daria J. Kuss, 2019. "A ‘Control Model’ of Social Media Engagement in Adolescence: A Grounded Theory Analysis," IJERPH, MDPI, vol. 16(23), pages 1-18, November.
    14. Michelle Hui Lim Lee & Manveen Kaur & Vinorra Shaker & Anne Yee & Rohana Sham & Ching Sin Siau, 2023. "Cyberbullying, Social Media Addiction and Associations with Depression, Anxiety, and Stress among Medical Students in Malaysia," IJERPH, MDPI, vol. 20(4), pages 1-13, February.
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    16. Christine Abdalla Mikhaeil & Richard Baskerville, 2019. "Using semiotics to analyze representational complexity in social media," Post-Print hal-02509212, HAL.
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    20. Yuhosua Ryoo & WooJin Kim, 2024. "Approach versus Avoidance: A Self-Regulatory Perspective on Hypocrisy Induction in Anti-Cyberbullying CSR Campaigns," Journal of Business Ethics, Springer, vol. 189(2), pages 345-364, January.

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