Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 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-meterParse Score
#41 of 84 in Digital Risk Protection & Deepfake Detection
Sources
researchgate.net shapes more of what AI says about DeepFake-o-meter than any other source, at 40% of its citations.
arxiv.org · link.springer.com · youtube.com
The market map
Digital Risk Protection & Deepfake Detection →Where AI ranks DeepFake-o-meter
Excerpts where DeepFake-o-meter appeared in the AI's answer
DeepFake-o-Meter is an open-source collaborative research platform hosted by the University at Buffalo Media Forensics Lab. It aggregates multiple state-of-the-art detection backbones, several of which output spatial activation maps
