Echoes of Norms: Investigating Counterspeech Bots’ Influence on Bystanders in Online Communities

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Authors: Mengyao Wang, Shuai Ma, Nuo Li, Peng Zhang, Chenxin Li, Ning Gu, Tun Lu
Cited by: 1
References: 80

Abstract

Counterspeech offers a non-repressive approach to moderate hate speech in online communities. Research has examined how counterspeech chatbots restrain hate speakers and support targets, but their impact on bystanders remains unclear. Therefore, we developed a counterspeech strategy framework and built Civilbot for a mixed-method within-subjects study. Bystanders generally viewed Civilbot as credible and normative, though its shallow reasoning limited persuasiveness. Its behavioural effects were subtle: when performing well, it could guide participation or act as a stand-in; when performing poorly, it could discourage bystanders or motivate them to step in. Strategy proved critical: cognitive strategies that appeal to reason, especially when paired with a positive tone, were relatively effective, while mismatch of contexts and strategies could weaken impact. Based on these findings, we offer design insights for mobilizing bystanders and shaping online discourse, highlighting when to intervene and how to do so through reasoning-driven and context-aware strategies.

Fields of Study & Subjects

Hate Speech and Cyberbullying Detection AI in Service Interactions Misinformation and Its Impacts

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–23
Publication date
13 April 2026