Claims

View and explore all extracted claims from processed sources.

Subject Tag

Extracted Claims (18140)

That means we do not pose or rearrange subjects, or blur, retouch or digitally manipulate the image. 1.000

Simplified: Subjects are not posed or rearranged, and images are not blurred, retouched, or digitally manipulated.

1 sources

4 months ago
“any published images that readers or viewers will understand as depictions of real events or situations must be genuine in every way.” 1.000

Simplified: Published images representing real events must be genuine.

1 sources

4 months ago
When we publish images created by A.I., we note clearly why we did so and how they are made and apply a label to the image. 1.000

Simplified: AI-generated images are labeled with explanations.

1 sources

4 months ago
We do not manipulate photos or videos using A.I. 1.000

Simplified: The organization does not use AI to manipulate photos or videos.

1 sources

4 months ago
On parts of our homepage and at the bottom of articles, we use machine learning to recommend articles based on factors that can include what you’ve read before, your rough location and what’s popular... 1.000

Simplified: Machine learning is used to recommend articles based on reading history, location, and popularity.

1 sources

4 months ago
We thoroughly edit the translations before publication. 1.000

Simplified: Translations are edited before publication.

1 sources

4 months ago
You can listen to most of our articles, through automated-voice technology, and read articles in Spanish created with the help of translation models. 1.000

Simplified: Most articles can be listened to with automated voice technology and articles can be read in Spanish via translation models.

1 sources

4 months ago
Artificial intelligence also helps us make The Times more accessible to more people. 1.000

Simplified: AI makes The Times more accessible.

1 sources

4 months ago
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.

1 sources

4 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.

1 sources

4 months ago
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.

1 sources

4 months ago
This story examining how President Trump’s speeches have changed made use of machine learning tools. 1.000

Simplified: A story analyzing changes in President Trump's speeches used machine learning.

1 sources

4 months ago
For this investigation, our journalists programmed an A.I. tool to scan satellite imagery for bomb craters, which they then reviewed by hand. 1.000

👤 The Times newsroom

Simplified: Journalists created an AI tool to find bomb craters in satellite images, followed by manual review.

1 sources

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

👤 The Times newsroom

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

1 sources

4 months ago
Updated July 23, 2025 1.000

Simplified: Article was updated on July 23, 2025

1 sources

4 months ago
Published Oct. 7, 2024 1.000

Simplified: Article was published on October 7, 2024

1 sources

4 months ago
A version of this article appears in print on Aug. 6, 2025, Section A, Page 1 of the New York edition with the headline: Inside Townhouse Where Sex Offender Set a Table for the Elite. 1.000

Simplified: Article appeared in print on August 6, 2025.

1 sources

4 months ago
The Times reviewed seven birthday messages given to Mr. Epstein in 2016. 0.900

Simplified: The Times reviewed seven birthday messages to Epstein in 2016.

1 sources

4 months ago
But by 2016, as Mr. Epstein’s reputation as a sexual predator became increasingly hard to ignore, his social network was shrinking. 0.900

Simplified: By 2016, Epstein's social network was shrinking due to his reputation.

1 sources

4 months ago
That book included contributions from Mr. Trump and Mr. Clinton, among dozens of others, The Wall Street Journal reported. 0.900

👤 The Wall Street Journal

Simplified: Trump and Clinton contributed to the 2003 letter collection.

1 sources

4 months ago