mlsanityData to 7 Oct 2026

Personalized Interventions for Online Moderation

arXiv 2205.09462 ↗First posted 19 May 2022cs.SI cs.AI cs.CYcited by 2

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Abstract (arXiv)

Current online moderation follows a one-size-fits-all approach, where each intervention is applied in the same way to all users. This naive approach is challenged by established socio-behavioral theories and by recent empirical results that showed the limited effectiveness of such interventions. We propose a paradigm-shift in online moderation by moving towards a personalized and user-centered approach. Our multidisciplinary vision combines state-of-the-art theories and practices in diverse fields such as computer science, sociology and psychology, to design personalized moderation interventions (PMIs). In outlining the path leading to the next-generation of moderation interventions, we also discuss the most prominent challenges introduced by such a disruptive change.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 32 references that are in the map. First posted on arXiv 19 May 2022.

Builds on

10 of 32 references.

References · 10

  1. 2020Generating Counter Narratives against Online Hate Speech: Data and Strategiescited by 58
  2. 2019Recent Trends in Deep Learning Based Personality Detectioncited by 29
  3. 2020Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Redditcited by 16
  4. 2020Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incelscited by 15
  5. 2022Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donaldcited by 13
  6. 2021Reconsidering Tweets: Intervening During Tweet Creation Decreases Offensive Contentcited by 11
  7. 2015Debunking in a World of Tribescited by 10
  8. 2021"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twittercited by 10
  9. 2018The Aftermath of Disbanding an Online Hateful Communitycited by 2
  10. 2020My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networkscited by 2

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Citing papers per year: 2024: 1; 2025: 1.

2 papers.