The goal of one study, led by former SML post-doc Dominc DiFranzo, was to explore the effects of design on bystander intervention using a total social media simulation (Truman). Depending on the experimental condition, participants were given varying information regarding audience size and viewing notifications, intended to increase the sense of personal responsibility in bystanders. Results from this study indicate that design changes that increased the participants’ feelings of accountability prompted them to accept personal responsibility in instances of cyberbullying. You can find the whole study here.
Another study investigated how different forms of cyberbullying repetition influenced the appraisal of instances of cyberbullying, and the bystanders’ willingness to intervene. This study found that increasing the number of aggressors on Twitter does increase the likelihood of each stage of the Bystander Intervention Model, but only under certain conditions. You can find more information about this project here.
Our current studies examine the role of empathy (to appear in CSCW’ 19) and the impact of AI in cyberbullying flagging and bystander interventions.
Kazerooni, F., Taylor, S. H., Bazarova, N. N., & Whitlock, J. L. (2018). Cyberbullying bystander intervention: The number of offenders and retweeting predict likelihood of helping a cyberbullying victim. Journal of Computer-Mediated Communication, 23(3), 146-162.
DiFranzo, D., Taylor, S. H., Kazerooni, F., Wherry, O. D., & Bazarova, N. N. (2018). Upstanding by Design: Bystander intervention in cyberbullying. In Proceedings of the 2018 ACM Conference on Human Factors in Computing Systems (CHI’18).