Echoes of Norms: Investigating Counterspeech Bots' Influence on Bystanders in Online Communities
Mengyao Wang, Shuai Ma, Nuo Li, Peng Zhang, Chenxin Li, Ning Gu, Tun Lu
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 727927a7-ce43-4c1f-bb39-a0e074731a6cBuilds on22
- AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music CompositionMinhyang (Mia) Suh, Emily Youngblom, Michael Terry, Carrie J. CaiCHI 2021 · 132 citations
- The Structure of Toxic Conversations on TwitterMartin Saveski, Brandon Roy, Deb RoyWWW 2021 · 111 citations
- Don't Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanations as Questions Improve Human Logical Discernment Accuracy over Causal AI explanationsValdemar Danry, Pat Pataranutaporn, Yaoli Mao, Pattie MaesCHI 2023 · 108 citations
- You Complete Me: Human-AI Teams and Complementary ExpertiseQiaoning Zhang, Matthew L. Lee, Scott A. CarterCHI 2022 · 84 citations
- IdeaBot: Investigating Social Facilitation in Human-Machine Team CreativityAngel Hsing-Chi Hwang, Andrea Stevenson WonCHI 2021 · 76 citations
Related papers
- Counterspeakers' Perspectives: Unveiling Barriers and AI Needs in the Fight against Online HateJimin Mun, Cathy Buerger, Jenny T. Liang, Joshua Garland et al.CHI 2024 · 12 citations
- Outcome-Constrained Large Language Models for Countering Hate SpeechLingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying SongEMNLP 2024 · 5 citations
- Empowering Creators in the Fight Against Online Hate: A Qualitative Exploration of AI-Mediated Counterspeech ToolsPhoebe Yiqing Huang, Jiaming Deng, Yingchen Yang, Spencer WilliamsCSCW 2025 · 2 citations
- Collaborative Upstanding: Exploring Conversational Strategies for Cyberbullying Upstanding EducationHaesoo Kim, Nader Akoury, Julia A. Sebastien, S. Isabelle McLeod Daphnis et al.CHI 2026 · 1 citation
- Perceiving and Countering Hate: The Role of Identity in Online ResponsesKaike Ping, James Hawdon, Eugenia Ha Rim RhoCSCW 2025 · 5 citations
