Antisocial Behavior in Online Discussion Communities
Not on the map. Why?
Abstract (arXiv)
User contributions in the form of posts, comments, and votes are essential to the success of online communities. However, allowing user participation also invites undesirable behavior such as trolling. In this paper, we characterize antisocial behavior in three large online discussion communities by analyzing users who were banned from these communities. We find that such users tend to concentrate their efforts in a small number of threads, are more likely to post irrelevantly, and are more successful at garnering responses from other users. Studying the evolution of these users from the moment they join a community up to when they get banned, we find that not only do they write worse than other users over time, but they also become increasingly less tolerated by the community. Further, we discover that antisocial behavior is exacerbated when community feedback is overly harsh. Our analysis also reveals distinct groups of users with different levels of antisocial behavior that can change over time. We use these insights to identify antisocial users early on, a task of high practical importance to community maintainers.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2015.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 4; 2023: 3; 2024: 3; 2025: 3; 2026: 1.
16 papers.
Sort:
- 2023Can Large Language Models Transform Computational Social Science?cited by 245
- 2024Attacks, Defenses and Evaluations for LLM Conversation Safety: A Surveycited by 124
- 2021Differentiable Learning Under Triagecited by 74
- 2021Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimationcited by 18
- 2022Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banningcited by 14
- 2022Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Sciencecited by 13
- 2023MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapterscited by 7
- 2025Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queriescited by 6
- 2025ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonalitycited by 5
- 2022Characterizing, Detecting, and Predicting Online Ban Evasioncited by 3
- 2024Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trollingcited by 3
- 2023Conversation Modeling to Predict Derailmentcited by 2
4 more
- 2024Towards Non-Adversarial Algorithmic Recoursecited by 2
- 2022Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host Countriescited by 1
- 2026Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.aicited by 1
- 2025Before the Outrage: Challenges and Advances in Predicting Online Antisocial Behaviorcited by 0
- 2026Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.ai3 Jan 2026
- 2025Before the Outrage: Challenges and Advances in Predicting Online Antisocial Behavior28 Jul 2025
- 2025ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality21 May 2025
- 2025Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries12 Apr 2025
- 2024Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling5 Oct 2024
- 2024Towards Non-Adversarial Algorithmic Recourse15 Mar 2024
- 2024Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey14 Feb 2024
- 2023Can Large Language Models Transform Computational Social Science?12 Apr 2023
- 2023Conversation Modeling to Predict Derailment20 Mar 2023
- 2023MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters13 Mar 2023
- 2022Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning20 Sep 2022
- 2022Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host Countries7 Sep 2022
4 more
- 2022Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science8 Mar 2022
- 2022Characterizing, Detecting, and Predicting Online Ban Evasion10 Feb 2022
- 2021Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation9 Jul 2021
- 2021Differentiable Learning Under Triage16 Mar 2021
- 2023Can Large Language Models Transform Computational Social Science?cited by 245
- 2024Attacks, Defenses and Evaluations for LLM Conversation Safety: A Surveycited by 124
- 2021Differentiable Learning Under Triagecited by 74
- 2021Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimationcited by 18
- 2022Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banningcited by 14
- 2022Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Sciencecited by 13
- 2023MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapterscited by 7
- 2025Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queriescited by 6
- 2025ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonalitycited by 5
- 2022Characterizing, Detecting, and Predicting Online Ban Evasioncited by 3
- 2024Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trollingcited by 3
- 2023Conversation Modeling to Predict Derailmentcited by 2
12 most cited of 16 All 16 (JSON)
- 2026Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.ai3 Jan 2026
- 2025Before the Outrage: Challenges and Advances in Predicting Online Antisocial Behavior28 Jul 2025
- 2025ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality21 May 2025
- 2025Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries12 Apr 2025
- 2024Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling5 Oct 2024
- 2024Towards Non-Adversarial Algorithmic Recourse15 Mar 2024
- 2024Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey14 Feb 2024
- 2023Can Large Language Models Transform Computational Social Science?12 Apr 2023
- 2023Conversation Modeling to Predict Derailment20 Mar 2023
- 2023MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters13 Mar 2023
- 2022Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning20 Sep 2022
- 2022Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host Countries7 Sep 2022
12 newest of 16 All 16 (JSON)