University of California, Berkeley

- misinformation (false category) gets more likes than the partially false category
- spread of misinformation peaked between March 16th and April 23rd
- false tweets spread faster than partially false tweets (propagation speed)
- misinformation often discredits information circulating on social media
- completely false information, compared to general COVID-19 tweets, often talks about the government
- partially false information is more concerned with transmission and mortality rates
- Iauthors posting misinformation are driven by affiliations to others significantly more often than authors of COVID-19 tweets in general and significantly less often by rewards or achievements

An exploratory study of COVID-19 misinformation on Twitter Results

Shahi, G. K., Dirkson, A., & Majchrzak, T. A. (2021). An exploratory study of covid-19 misinformation on twitter. Online Social Networks and Media, 22, 100104. https://www.sciencedirect.com/science/article/pii/S2468696420300458

An exploratory study of COVID-19 misinformation on Twitter

An exploratory study of COVID-19 misinformation on Twitter Table

number of false and partially false tweets related to COVID-19

An exploratory study of COVID-19 misinformation on Twitter Graph

most used hashtags in tweets that contiain misinformation about COVID-19 

most used terms or phrases in tweets that contain misinformation about COVID-19

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