University of Michigan - Ann Arbor

- 40.5% of tweets containing misinformation could be traced back to social media sites using the included URL
- Many of these sites provide dubious and unreliable information: e.g. thepigeonexporess.com and New York Times had almost the same number of shares even though one source is significantly less established and trusted 

A first look at COVID-19 information and misinformation sharing on Twitter - Identifying Myths Data Analysis

Singh, L., Bansal, S., Bode, L., Budak, C., Chi, G., Kawintiranon, K., ... & Wang, Y. (2020). A first look at COVID-19 information and misinformation sharing on Twitter. arXiv preprint arXiv:2003.13907. https://arxiv.org/abs/2003.13907. 

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