Fighting Misinformation on Social Media Using Crowdsourced Judgments of News Source Quality

We find that despite partisan differences, laypeople across the political spectrum rate mainstream sources as far more trustworthy than either hyper-partisan or fake sources; and politically balanced layperson ratings are strongly correlated (r=0.90) with professional fact-checkers. Thus, social media algorithms down-ranking content from untrusted sources is promising for fighting misinformation.



Citation:

Gordon Pennycook and David Rand (2019) ,"Fighting Misinformation on Social Media Using Crowdsourced Judgments of News Source Quality", in NA - Advances in Consumer Research Volume 47, eds. Rajesh Bagchi, Lauren Block, and Leonard Lee, Duluth, MN : Association for Consumer Research, Pages: 105-110.

Authors

Gordon Pennycook, University of Regina, Canada
David Rand, Massachusetts Institute of Technology, USA



Volume

NA - Advances in Consumer Research Volume 47 | 2019



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