Google News does not differentiate search results according to users' politics – but it does favor mainstream news sites, which are seen as leaning left, and doesn't clearly disclose how its algorithms work.
Academic rigor, journalistic flair
Articles on Algorithm transparency
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Information on social media can be misleading because of biases in three places – the brain, society and algorithms. Scholars are developing ways to identify and display the effects of these biases.
It could seem attractive to try to teach computers to detect harassment, threats and abusive language. But it's much more difficult than it might appear.
It can be unpleasant to be mistaken for someone of a different gender. When an algorithm does it secretly, it's even more concerning – especially for transgender and gender-nonconforming people.
Social media companies arose from libertarian, free-market origins but must embrace social benefits and democracy to survive.
Top contributors
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Assistant Professor of Informatics, University of California, Irvine
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Professor of Computer Science and Informatics; Director of the Center for Complex Networks and Systems Research, Indiana University
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Shirley Papé Chair in Emerging Media, School of Journalism and Communication, University of Oregon
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Associate Professor of Communication Studies, American University School of Communication
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Assistant professor, department of Computer Science and Engineering, University of South Florida
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Professor of Public Administration and Policy, American University School of Public Affairs
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Postdoctoral Research Associate in Information Systems, University of Maryland, Baltimore County
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PhD Student in Information Science, University of Colorado
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Associate Professor of Computer and Information Science, University of Oregon
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Ph.D. candidate in Communications, Columbia University
