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Algorithm Outperforms Humans at Spotting Fake News Digital Trends

An artificial intelligence system that can tell the difference between real and fake news -- often with better success rates than its human counterparts -- has been developed by researchers at the University of Michigan. Such a system may hep social media platforms, search engines, and news aggregators filter out articles meant to misinform. "As anyone else, we have been disturbed by the negative effect that fake news can have in major political events [and] daily life," Rada Mihalcea, a UM computer science professor who developed the system, told Digital Trends. "My group has done a significant amount of work on deception detection for nearly ten years. We saw an opportunity to address a major societal problem through the expertise we accumulated over the years."