Fake news detector developed at U-M works better than a human
An algorithm-based system that identifies telltale linguistic cues in fake news stories could provide news aggregator and social media sites like Google News with a new weapon in the fight against misinformation. Led by computer science and engineering professor Rada Mihalcea, the U-M researchers who developed the system have demonstrated that it’s comparable to and sometimes better than humans… Read More »