Tommy K.H Chan
Bystanders Join In Cyberbullying on Social Networking Sites: The Deindividuation and Moral Disengagement Perspectives
Chan, Tommy K.H; Cheung, Christy M.K; Benbasat, Izak; Xiao, Bo; Lee, Zach W.Y
Authors
Christy M.K Cheung
Izak Benbasat
Bo Xiao
Zach W.Y Lee
Abstract
Cyberbullying on social networking sites (SNSs) escalates when bystanders join in the bullying. Although researchers have recognized the devastating consequences of joining in cyberbullying behaviors, little is known about the role of information technology (IT) and its underlying mechanisms in fueling such negative group behavior on SNSs. To address this research gap, we develop and test an integrative model that explains bystanders’ joining in cyberbullying behaviors on SNSs. Based on the theoretical premises of the social identity model of deindividuation effects (the SIDE model), we derive two deindividuation experiences enabled by SNSs, namely experienced anonymity and experienced social identity. We further use the social network research framework to gain insights into how IT features (i.e., digital profile, search and privacy, relational ties, and network transparency) enable these two deindividuation experiences. Considering the socially undesirable nature of joining in behaviors, we integrate the SIDE model with moral disengagement theory to explain how deindividuation experiences allow bystanders to bypass their psychological discomfort when engaging in such behaviors through the practice of moral disengagement mechanisms. Our research model is tested using a scenario survey, with two samples recruited from Amazon Mechanical Turk and Facebook. Our results support the influences of IT-enabled deindividuation experiences on bystanders’ joining in cyberbullying and demonstrate the mediating effects of moral disengagement mechanisms in bridging the effects of deindividuation experiences on joining in behaviors. For researchers, the integrative view offers a conceptual bridge connecting IT features, deindividuation, moral disengagement, and negative online group behaviors on SNSs. For practitioners, our findings provide platform owners and governmental agencies with directions on how to mitigate cyberbullying on SNSs and other forms of deviant and undesirable online group behaviors.
Citation
Chan, T. K., Cheung, C. M., Benbasat, I., Xiao, B., & Lee, Z. W. (2023). Bystanders Join In Cyberbullying on Social Networking Sites: The Deindividuation and Moral Disengagement Perspectives. Information Systems Research, 34(3), 828–846. https://doi.org/10.1287/isre.2022.1161
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 15, 2022 |
Online Publication Date | Aug 18, 2022 |
Publication Date | 2023-09 |
Deposit Date | Jul 26, 2022 |
Publicly Available Date | Jul 26, 2022 |
Journal | Information Systems Research |
Print ISSN | 1047-7047 |
Electronic ISSN | 1526-5536 |
Publisher | Institute for Operations Research and Management Sciences |
Peer Reviewed | Peer Reviewed |
Volume | 34 |
Issue | 3 |
Pages | 828–846 |
DOI | https://doi.org/10.1287/isre.2022.1161 |
Public URL | https://durham-repository.worktribe.com/output/1196852 |
Files
Published Journal Article
(1.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Accepted Journal Article
(987 Kb)
PDF
You might also like
Cyberslacking in the Workplace: Antecedents and Effects on Job Performance
(2023)
Journal Article
Blockchain Technology and Trust Relationships in Trade Finance
(2021)
Journal Article
Cyberbullying on Social Networking Sites: A Literature Review and Future Research Directions
(2020)
Journal Article
The Sharing Economy: Promises and Challenges
(2019)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search