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.


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.


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


NA - Advances in Consumer Research Volume 47 | 2019

Share Proceeding

Featured papers

See More


Magical Anchors: Initial Focal Attention Drives the Direction and Content of Essence Transfer

Thomas Kramer, University of California Riverside, USA
Wenxia Guo, Acadia University
Zhilin Yang, City University of Hong Kong

Read More


A Computational Social Science Framework for Visualizing the Possibility Space of Consumer-Object Assemblages from IoT Interaction Data

Donna Hoffman, George Washington University, USA
Thomas Novak, George Washington University, USA

Read More


Does a Blurry Background Make a High Roller? The Effects of Blurry versus Sharp Backgrounds on Consumers’ Risk-Taking Behavior

Yoonho Jin, INSEAD, Singapore
Amitava Chattopadhyay, INSEAD, Singapore

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.