Personalized Interventions for Online Moderation

Abstract

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.

arXiv commentThe 33rd ACM Conference on Hypertext and Social Media (HT '22)

References in corpus (2)

• Recent Trends in Deep Learning Based Personality Detection
• Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels

Cited by in corpus (6)

• Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donald
• The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
• One of Many: Assessing User-level Effects of Moderation Interventions on r/The_Donald
• "Ignorance is Not Bliss": Designing Personalized Moderation to Address Ableist Hate on Social Media
• Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation
• Beyond Trial-and-Error: Predicting User Abandonment After a Moderation Intervention