Personalized Interventions for Online Moderation
Stefano Cresci, Amaury Trujillo, Tiziano Fagni

TL;DR
This paper advocates for a shift from generic to personalized online moderation interventions, integrating multidisciplinary insights to enhance effectiveness and address current limitations.
Contribution
It introduces a novel paradigm of personalized moderation interventions combining theories from multiple disciplines, outlining challenges and a pathway for next-generation moderation.
Findings
Limited effectiveness of one-size-fits-all interventions
Proposal of a multidisciplinary approach for personalization
Discussion of challenges in implementing PMIs
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
