Using machine learning to study over 85 million YouTube comments, a research team has, for the first time, identified linguistic differences among cable news viewers.
Academic rigor, journalistic flair
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The conservative cable news channel particularly favors the term when explaining opposition to Donald Trump. This framing of the news can lead Fox viewers to see the world as us versus them.
To one scholar of the post-truth era, tuning in to Robert Mueller's testimony Wednesday was to hear a duel over the facts. Not what the facts imply – but what the facts are.
For the rest of us, it's another sign of the country's eroding media and political landscape.
Here's a riddle: What's the dominant image of the 2018 election campaign? There isn't one. But there are many.
Top contributors
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Associate Professor of Media Studies, Penn State
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Research Fellow, Center for Philosophy and History of Science, Boston University
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Teaching Associate Professor, West Virginia University
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Assistant Professor of Political Science, Freie Universität Berlin
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J.B. and M.C. Shapiro Professor Emeritus of Media and Public Affairs, George Washington University
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Mark Kamlet is a Friend of The Conversation.
University Professor of Economics and Public Policy, Carnegie Mellon University
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Founders University Professor of Machine Learning, Carnegie Mellon University
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Project Scientist at the School of Computer Science, Carnegie Mellon University
