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Claim Text: For this investigation, our journalists programmed an A.I. tool to scan satellite imagery for bomb craters, which they then reviewed by hand.
Simplified Text: Journalists created an AI tool to find bomb craters in satellite images, followed by manual review.
Confidence Score: 1.000
Claim Maker: The Times newsroom
UUID: 4c66a5c1-39d5-41c6-87b6-b1b6e28eff22
Vector Index: ✗ No vector
Created: December 6, 2025 at 12:01 AM (8 months ago)
Last Updated: December 6, 2025 at 12:01 AM (8 months ago)

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Screenshot of https://nytimes.com/2024/10/07/reader-center/how-new-york-times-uses-ai-journalism.html

https://nytimes.com/2024/10/07/reader-center/how-new-york-times-uses-ai-journali...

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17 claims 🔥

1 week ago

https://nytimes.com/2024/10/07/reader-center/how-new-york-times-uses-ai-journalism.html

Similar Claims (5)

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We use machine-learning models to sift through vast amounts of data for investigative reporting. 1.000

Simplified: The organization uses machine learning to analyze large datasets for investigative reports.

8 months ago
Our editors may employ generative A.I. tools to create initial drafts of headlines, summaries of Times articles and other text that helps us produce and distribute the news. 1.000

Simplified: Editors use generative AI to create initial drafts of headlines and summaries.

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We don’t use A.I. to write articles, and journalists are ultimately responsible for everything that we publish. 1.000

Simplified: The organization does not use AI to write articles and journalists are responsible.

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Simplified: AI-generated images are labeled with explanations.

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Our investigation into private meetings of Republican activists analyzed over 400 hours of video footage using machine learning and artificial intelligence. 1.000

Simplified: An investigation of Republican activist meetings used machine learning and AI to analyze over 400 hours of video.

8 months ago