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Researchers from Virginia Tech have used AI and natural language processing to analyze 10 years of broadcasts and tweets from CNN and Fox News, revealing a surge in partisan and inflammatory language. This study shows that the media language influences public debates on social media, creating divisive echo chambers and reinforcing existing views. Given that TV news is driven by ratings, these practices may continue to drive a wedge in public discourse. Mike Horning, an associate professor in the School of Communication, and Eugenia Rho, an assistant professor in the Department of Computer Science, collaborated on the research.