Measuring Belief in Fake News Online
A Lecture by Joshua A. Tucker, Professor of Politics, New York University
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A Zoom link wil be sent to registrants prior to the event.
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Presented as part of the "Solidarity and Strife: Democracies in a Time of Pandemic" initiative, funded by the Social Science Research Council (SSRC) and co-sponsored by Social Science Matrix and the D-Lab at the University of California, Berkeley.
Abstract
How well can ordinary people do in identifying the veracity of news in real time? Using a unique research design that has involved crowdsourcing popular news articles from both mainstream and suspect news sources that have appeared in the past 24 hours to both ordinary citizens and professional fact checkers, Professor Tucker will report on the individual level characteristics of those likely to incorrectly identify false news stories as true, the results of interventions to attempt to reduce the prevalence of this behavior, and the prospects for crowdsourcing to serve as a viable means for identifying false news stories in real time. He will also report preliminary findings from a replication of this study focusing exclusively on news about Covid-19.
About the Speaker
Joshua A. Tucker is Professor of Politics, affiliated Professor of Russian and Slavic Studies, and affiliated Professor of Data Science at New York University. He is the Director of NYU’s Jordan Center for Advanced Study of Russia, a co-Director of the NYU Center for Social Media and Politics, and a co-author/editor of the award-winning politics and policy blog The Monkey Cage at The Washington Post. He is the co-Chair of the independent academic advisory team for the 2020 Facebook Election Research Study, serves on the advisory board of the American National Election Study, the Comparative Study of Electoral Systems, and numerous academic journals, and was the co-founder and co-editor of the Journal of Experimental Political Science. His original research was on mass political behavior in post-communist countries, including voting and elections, partisanship, public opinion formation, and protest participation.
More recently, he has been at the forefront of the newly emerging field of study of the relationship between social media and politics. His research in this area has included studies on the effects of network diversity on tolerance, partisan echo chambers, online hate speech, the effects of exposure to social media on political knowledge, online networks and protest, disinformation and fake news, how authoritarian regimes respond to online opposition, and Russian bots and trolls. An internationally recognized scholar, he has served as a keynote speaker for conferences in Sweden, Denmark, Italy, Brazil, the Netherlands, Russia, and the United States, and has given over 200 invited research presentations at top domestic and international universities and research centers. His research has appeared in over two dozen scholarly journals and has been supported by a wide range of philanthropic foundations, as well as multiple grants from the National Science Foundation. His most recent books are the co-authored Communism’s Shadow: Historical Legacies and Contemporary Political Attitudes (Princeton University Press, 2017), and the co-edited Social Media and Democracy: The State of the Field (Cambridge University Press, 2020).
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