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dc.contributor.authorMosleh, Mohsen
dc.contributor.authorMartel, Cameron
dc.contributor.authorEckles, Dean
dc.contributor.authorRand, David
dc.date.accessioned2022-09-08T15:18:41Z
dc.date.available2022-09-08T15:18:41Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/145320
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3411764.3445642en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Randen_US
dc.titlePerverse 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 Experimenten_US
dc.typeArticleen_US
dc.identifier.citationMosleh, 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.
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.relation.journalProceedings of the 2021 CHI Conference on Human Factors in Computing Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-09-08T15:16:30Z
dspace.orderedauthorsMosleh, M; Martel, C; Eckles, D; Rand, Den_US
dspace.date.submission2022-09-08T15:16:33Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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