Concept

COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information data collection

  • Utilized Communicative Content Analysis
  • Obtained a total of 17,988 Tweets that each had at least 1000 retweets, contained the keyword “coronavirus,” and was published between February 6-7, 2020 using the NVivo software for extraction
  • Each Tweet was studied beyond just the text; links to further information, the number of retweets, and user profiles were all crucial information
  • Categorized each Tweet into one of the 7 groups – false information, science-based evidence, fact-checking tweets, mixed information, facts, other, and not valid
  • 58 of the tweets were excluded due to difficulty in placing them into one of the 7 groups

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Updated 2021-02-04

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CSCW (Computer-supported cooperative work)

Computing Sciences