Concept

Community-Based Fact-Checking on Twitter's Birdwatch Platform - Results

  • A lot more notes for misleading than non-misleading notes, primarily due to factual mistakes or unclear contexts (RQ 1)
  • Negative sentiments and longer explanations typically associated with misleading tweets (RQ 2)
  • A lot more discussion on Birdwatch regarding tweets made by politicians (RQ 3)
  • Misleading tweets receive more votes and attention on Birdwatch, and users find such interventions helpful if the overall sentiment is positive and supplementary sources are provided (RQ 4)
  • Tweets by users with more followers usually have more votes but are more likely to be regarded as misleading (RQ 5)

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Updated 2021-06-10

Tags

CSCW (Computer-supported cooperative work)

Computing Sciences