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