Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
DeFake App develops usable, explainable, and trustworthy digital media forensics tools to detect and analyze AI-manipulated content such as deepfakes. The project emphasizes an ontological framework (Varuna) to organize analytic tools and models for provenance, detection, and interpretation. It offers publications, case studies, a detection app, and community resources to support analysts, researchers, and the public in verifying multimedia authenticity.
Parse Score
Sources
engineering.washu.edu shapes more of what AI says about DeFake than any other source, at 60% of its citations.
defakes.com · themoonlight.io