Trajectories of Blocked Community Members: Redemption, Recidivism and Departure
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Abstract (arXiv)
Community norm violations can impair constructive communication and collaboration online. As a defense mechanism, community moderators often address such transgressions by temporarily blocking the perpetrator. Such actions, however, come with the cost of potentially alienating community members. Given this tradeoff, it is essential to understand to what extent, and in which situations, this common moderation practice is effective in reinforcing community rules. In this work, we introduce a computational framework for studying the future behavior of blocked users on Wikipedia. After their block expires, they can take several distinct paths: they can reform and adhere to the rules, but they can also recidivate, or straight-out abandon the community. We reveal that these trajectories are tied to factors rooted both in the characteristics of the blocked individual and in whether they perceived the block to be fair and justified. Based on these insights, we formulate a series of prediction tasks aiming to determine which of these paths a user is likely to take after being blocked for their first offense, and demonstrate the feasibility of these new tasks. Overall, this work builds towards a more nuanced approach to moderation by highlighting the tradeoffs that are in play.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 0; 2025: 2.
5 papers.
- 2022Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderationcited by 66
- 2022Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Supportcited by 15
- 2021The structure of online social networks modulates the rate of lexical changecited by 8
- 2025Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Modelscited by 2
- 2025Silencing Empowerment, Allowing Bigotry: Auditing the Moderation of Hate Speech on Twitchcited by 0
- 2025Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Models25 Jul 2025
- 2025Silencing Empowerment, Allowing Bigotry: Auditing the Moderation of Hate Speech on Twitch9 Jun 2025
- 2022Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Support29 Nov 2022
- 2022Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation25 Apr 2022
- 2021The structure of online social networks modulates the rate of lexical change11 Apr 2021