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Labeling Synthetic Content: User Perceptions of Warning Label Designs for AI-generated Content on Social Media

2025-02-20

Abstract excerpt

<p>In 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, positioning, and level of detail. Our experimental study involved 911 participants randomly assigned to these ten label designs and a control gro...

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Literature Corpus work: 1fa72e49-9ebc-52f4-ad31-259ef5eda724
DOI: 10.31234/osf.io/p5t3v_v2

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