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Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Researchers worked to create a method and analysis in order to characterize two groups on Twitter: misinformed users or users actively posting misinformation about COVID-19 versus informed users or users actively posting true information and countering misinformation about COVID-19. What was found was that the misinformed community was more dense and organized, and could possibly be spreading disinformation. Their results also suggested that a large proportion of misinformed users are also anti-vaxxers, and that informed users tend to use more narratives.
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CSCW (Computer-supported cooperative work)
Computing Sciences
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Learn After
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset data analysis
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset data collection and annotation
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset Results