Concept
An exploratory study of COVID-19 misinformation on Twitter Results
- 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
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Updated 2021-05-06
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CSCW (Computer-supported cooperative work)
Computing Sciences
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An exploratory study of COVID-19 misinformation on Twitter Table
An exploratory study of COVID-19 misinformation on Twitter Graph
An exploratory study of COVID-19 misinformation on Twitter Graph
An exploratory study of COVID-19 misinformation on Twitter Table
An exploratory study of COVID-19 misinformation on Twitter Graph
An exploratory study of COVID-19 misinformation on Twitter Graph
An exploratory study of COVID-19 misinformation on Twitter Table
An exploratory study of COVID-19 misinformation on Twitter Graph