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.
Academic rigor, journalistic flair
Articles on Algorithm transparency
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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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Lecturer of Information Systems, University of Maryland, Baltimore County
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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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Associate Professor of Communication Studies, American University School of Communication
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Assistant Research Scientist, Indiana University Network Science Institute, Indiana University
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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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Master's student in Human-Centered Computing, University of Maryland, Baltimore County
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Associate Professor of Computer and Information Science, University of Oregon
