RealFakeLies
Trending CLM-FDE3B09E

AI-extracted claim

“One way we did that was by leveraging something called “semantic search,” which lets reporters search for concepts and find matching text even if the exact language isn’t in the document.”
The New York Times by Patrick Healy, Steve Eder, Andrew Chavez, Kirsten Danis, Dylan Freedman View original article

Analyzed on 2026-08-22T05:05:44+00:00 · Last updated 2026-08-22

Unverified (Unverified)

Plain language: Insufficient evidence was found to render a verdict.

Credibility score

out of 100

Based on 1 source

Low confidence

01

Original context

Show passage from source article
One way we did that was by leveraging something called “semantic search,” which lets reporters search for concepts and find matching text even if the exact language isn’t in the document.

Extracted from: How The Times Is Digging Into Millions of Pages of Epstein Files , The New York Times

02

Evidence

1 support 0 contradict 0 context

This analysis is based on a single source. Confidence is low.

The New York Times nytimes.com credibility 0.85 Supports

“One way we did that was by leveraging something called “semantic search,” which lets reporters search for concepts and find matching text even if the exact language isn’t in the document.”

How The Times Is Digging Into Millions of Pages of Epstein Files

Bias distribution of supporting sources

← Left Center Right →

Mean bias -0.20

05

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06

Metadata

Claim ID CLM-FDE3B09E
Slug one-way-we-did-that-was-by-leveraging-something-called-seman-fde3b09e
Origin nytimes.com
Captured 209 d ago
Velocity 0.0/hr
Bias 0.00
Technology Media