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Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes Methodology

  • Split research into 4 steps – preconditions, safety and herd immunity, efficacy and hesitancy, and political affiliation
  • Want to determine whether seeing tweets with misinformation about the COVID-19 vaccine impacts people’s views regarding the accuracy of information on Twitter with or without warning covers and tags and for verified vs. non-verified accounts
  • 4 different comparisons – misleading tweets with vs. without a warning tag & without vs. without warning cover; verified tweets with vs. without warning tags & without vs. without warning covers (verified account used was “TheVirusMonitor”)
  • Conducted an anonymous survey from January to February of 2021 where 319 participants were randomly put into 1 of 6 groups – misleading tweet with warning tag, misleading tweet without warning tag, misleading tweet with warning cover; verified tweet, verified tweet with warning tag, verified tweet with warning cover
  • Used the Mann-Whitney U test to compare user perceptions towards the tweets

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Updated 2021-04-29

Contributors are:

Winnifer Chen
Winnifer Chen
🏆 1

Who are from:

University of Michigan - Ann Arbor
University of Michigan - Ann Arbor
🏆 1

References

Tags

CSCW (Computer-supported cooperative work)

Computing Sciences

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