Concept
Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter Data Analysis
- Used Chi-square to determine the association between the type of Tweet and the authenticity of information presented
- 153 Tweets (24.8%) contained misinformation and 107 Tweets (17.4%) contained unverifiable information
- Misinformation was more prevalent among unverified Twitter accounts (31% vs. 12.6%)
- The hashtag “#nCov19” and keyword “COVID-19” saw the least percentage of misinformation
- The hashtag “#2019_nCOV” saw the highest percentage of misinformation
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Updated 2021-01-28
Tags
CSCW (Computer-supported cooperative work)
Computing Sciences