Matrix Podcast
Matrix Podcast
Feb 7, 2021
Measuring Belief in Fake News Online: Joshua A. Tucker, Professor of Politics, New York University
Play • 56 min

How well can ordinary people do in identifying the veracity of news in real time?  In this lecture, recorded on Feb. 1, 2021, Professor Tucker reported on preliminary findings from a study focused on this important question. Using a unique research design that 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 researched the 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.

This lecture was 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.

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