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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

Concept

Perverse Downstream Consequences of Debunking - Further Research

Where corrections shift users’ attention
Difference between public vs. private corrections
Influence of different wordings in correction messages on sharing behaviors
How long corrections continue to effect users
Effects of sending users repeated corrections
Time between when the misinformation posts were originally tweeted and when corrections were sent
Applying the same study to other social media platforms and for non-political claims

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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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