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Original: Simon Willison · 11/02/2026

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Summary

Built in-house and known internally as the “Manosphere Report,

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Key Insights

“An AI-generated report, delivered directly to the email inboxes of journalists, was an essential tool in the Times’ coverage.” — Describing the importance of the Manosphere Report in journalistic coverage.
“Built in-house and known internally as the “Manosphere Report,” the tool uses large language models (LLMs) to transcribe and summarize new episodes of dozens of podcasts.” — Explaining the functionality and internal development of the Manosphere Report.
“The Manosphere Report gave us a really fast and clear signal that this was not going over well with that segment of the President’s base.” — Illustrating the impact of the Manosphere Report on understanding public sentiment.

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Topics

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Full Article

# Quoting Andrew Deck for Niemen Lab
Author: Simon Willison
Published: 2026-02-11
Source: https://simonwillison.net/2026/Feb/11/manosphere-report/#atom-everything
An AI-generated report, delivered directly to the email inboxes of journalists, was an essential tool in the Times’ coverage. It was also one of the first signals that conservative media was turning against the administration […] Built in-house and known internally as the “Manosphere Report,” the tool uses large language models (LLMs) to transcribe and summarize new episodes of dozens of podcasts. “The Manosphere Report gave us a really fast and clear signal that this was not going over well with that segment of the President’s base,” said Seward. “There was a direct link between seeing that and then diving in to actually cover it.”
— Andrew Deck for Niemen Lab, How The New York Times uses a custom AI tool to track the “manosphere”

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Key Takeaways

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Notable Quotes

An AI-generated report, delivered directly to the email inboxes of journalists, was an essential tool in the Times’ coverage.
Context: Describing the importance of the Manosphere Report in journalistic coverage.
Built in-house and known internally as the “Manosphere Report,” the tool uses large language models (LLMs) to transcribe and summarize new episodes of dozens of podcasts.
Context: Explaining the functionality and internal development of the Manosphere Report.
The Manosphere Report gave us a really fast and clear signal that this was not going over well with that segment of the President’s base.
Context: Illustrating the impact of the Manosphere Report on understanding public sentiment.
  • [[topics/large-language-models]]
  • [[topics/prompt-engineering]]
  • [[topics/ai-agents]]

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Originally published at https://simonwillison.net/2026/Feb/11/manosphere-report/#atom-everything.