What If Moderation Didn’t Mean Suppression? A Case for Personalized Content Transformation

要旨

Centralized content moderation paradigm both falls short and overreaches: 1) it fails to account for the subjective nature of harm, and 2) it acts with blunt suppression in response to content deemed harmful, even when such content can be salvaged. We first investigate this through formative interviews, documenting how seemingly benign content becomes harmful due to individual life experiences. Based on these insights, we developed DIY-MOD, a browser extension that operationalizes a new paradigm: personalized content transformation. Operating on a user's own definition of harm, DIY-MOD transforms sensitive elements within content in real-time instead of suppressing the content itself. The system selects the most appropriate transformation for a piece of content from a diverse palette---from obfuscation to artistic stylizing---to match the user's specific needs while preserving the content's informational value. Our two user studies demonstrate that this approach increases users' sense of agency and safety, enabling them to engage with content and communities they previously needed to avoid.

受賞
Honorable Mention
著者
Rayhan Rashed
University of Michigan, Ann Arbor, Michigan, United States
Farnaz Jahanbakhsh
University of Michigan, Ann Arbor, Michigan, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: AI Personality

P1 - Room 121
7 件の発表
2026-04-13 20:15:00
2026-04-13 21:45:00