News stories about domestic politics and social issues are becoming increasingly polarized along ideological lines according to a study of 1.8 million news headlines from major US news outlets from 2014 to 2022. A team from the University of Rochester led by Jiebo Luo, a professor of computer science and the Albert Arendt Hopeman Professor of Engineering, used machine learning to analyze headlines and presented their findings about growing media bias at the MEDIATE workshop of the International AAAI Conference on Web and Social Media.
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Source: Phys.org