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  • Perverse Downstream Consequences of Debunking - Findings

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Perverse Downstream Consequences of Debunking - RQ1 (Re)tweet Quality

  • 9,289 links shared through original tweets and 7,215 links shared through retweets with quality scores
  • Corrections had more negative effects on the quality of retweets compared to the quality of original tweets

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Updated 2021-08-07

Contributors are:

Winnifer Chen
Winnifer Chen
🏆 3

Who are from:

University of Michigan - Ann Arbor
University of Michigan - Ann Arbor
🏆 3

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

Related
  • Perverse Downstream Consequences of Debunking - Discussion of Findings

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  • Perverse Downstream Consequences of Debunking - RQ1 (Re)tweet Quality

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  • Perverse Downstream Consequences of Debunking - RQ2 Channel of Attention

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  • Perverse Downstream Consequences of Debunking - RQ3 Partisan Slant

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  • Perverse Downstream Consequences of Debunking - RQ3 Language Toxicity

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  • Perverse Downstream Consequences of Debunking - User Activity

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  • Perverse Downstream Consequences of Debunking - User Characteristics

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Learn After
  • Perverse Downstream Consequences of Debunking - RQ1 (Re)tweet Quality Figure

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