University of Michigan - Ann Arbor

- 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

Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter Data Analysis

Kouzy, R., Abi Jaoude, J., Kraitem, A., El Alam, M. B., Karam, B., Adib, E., ... & Baddour, K. (2020). Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. Cureus, 12(3). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152572/ 

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