1Cademy - Perverse Downstream Consequences of Debunking - Method Overview

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Perverse Downstream Consequences of Debunking - Methodology

Concept

Perverse Downstream Consequences of Debunking - Method Overview

Targeted users on Twitter who tweeted about links that were identified as containing misinformation by professional fact-checkers
Replied to those identified tweets with corrections
Studied the effects of corrections on subsequent tweets in the 24 hours after replying to those users’ tweets through a stepped-wedge design

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Updated 2021-08-07

Contributors are:

Winnifer Chen

Who are from:

University of Michigan - Ann Arbor

University of Michigan - Ann Arbor

References

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

Tags

CSCW (Computer-supported cooperative work)

Computing Sciences

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