Take the Power Back: Screen-Based Personal Moderation Against Hate Speech on Instagram

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Authors: Anna Luther, Hendrik Heuer, Sebastian Haunss, Stephanie Geise, Andreas Breiter
Cited by: 1
References: 66

Abstract

Hate speech remains a pressing challenge on social media, where platform moderation often fails to protect targeted users. Personal moderation tools that let users decide how content is filtered can address some of these shortcomings. However, it remains an open question on which screens (e.g., the comments, the reels tab, or the home feed) users want personal moderation and which features they value most. To address these gaps, we conducted a three-wave Delphi study with 40 activists who experienced hate speech. We combined quantitative ratings and rankings with open questions about required features. Participants prioritized personal moderation for conversational and algorithmically curated screens. They valued features allowing for reversibility and oversight across screens, while input-based, content-type specific, and highly automated features are more screen specific. We discuss the importance of personal moderation and offer user-centered design recommendations for personal moderation on Instagram.

Fields of Study & Subjects

Hate Speech and Cyberbullying Detection Spam and Phishing Detection Digital Communication and Language

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–20
Publication date
13 April 2026