BUFFALO, N.Y. — A team at the University at Buffalo's Media Forensics Lab is using new technology that aims to determine if social media posts are true or false.
The school developed a program called "DeepFake-o-Meter," which they say "combines several state-of-the-art deepfake detection algorithms into one open-source."
“Everyone from social media users to journalists to law enforcement often has to go through someone like me to figure out if a piece of media shows signs of being generated by artificial intelligence,” says Lyu, who routinely obliges such requests.
“They can’t get an immediate and conclusive analysis when time is of the essence.”
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