Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment

Author(s)
Mosleh, Mohsen; Martel, Cameron; Eckles, Dean; Rand, David
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Date issued
2021
URI
https://hdl.handle.net/1721.1/145320
Department
Sloan School of Management; Massachusetts Institute of Technology. Institute for Data, Systems, and Society; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Publisher
Association for Computing Machinery (ACM)
Citation
Mosleh, Mohsen, Martel, Cameron, Eckles, Dean and Rand, David. 2021. "Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment." Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.
Version: Author's final manuscript
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