Data as of Sep 26, 2026 · Based on 4,029,442 AI responses across 13,338 prompts · See how Parse measures this
DeepFake-o-meterzinc.cse.buffalo.eduZinc is a project associated with the University at Buffalo's Computer Science and Engineering department. The only visible content on the site is the phrase 'it works,' suggesting the system is functional but offering no details about features or purpose. Therefore, the exact goal and capabilities of Zinc cannot be determined from the site content alone.
DeepFake-o-meterThe market map · 5 of 100 labelled
Digital Risk Protection & Deepfake Detection →Where DeepFake-o-meter ranks in AI
Reality DefenderPicked instead4 questions
SensityPicked instead2 questions
ZeroFoxPicked instead2 questions
Google Safe BrowsingPicked instead1 question
Resemble AIRanking↑5 to #4No contexts measured yet.
Excerpts where DeepFake-o-meter appeared in the AI's answer
DeepFake-O-Meter : Developed by the University at Buffalo, this comprehensive evaluation platform aggregates multiple state-of-the-art detection models.
Deepfake-o-Meter : Developed as an evaluation platform for deepfake detection algorithms, it brings together multiple backends and detection models where research-oriented explainability features are frequently tested.
