University of Michigan - Ann Arbor

- 161,390 different Twitter users tweeted or retweeted at least one of the COVID-19-related publications in the dataset
- Looking at the co-occurrence network of terms that Twitter users described themselves with (size of node indicates frequency at which a term is used)
- 4 clusters – personal description, interest and faith, academic role, and attitude and position 
- Words related to academia were more common among users who tweeted and retweeted COVID-19-related research
- Scholarly-oriented users were more active in disseminating science-based information on Twitter, including COVID-19-related research 

Tracking the Twitter attention around the research efforts on the COVID-19 pandemic results - Twitter user characterization

Fang, Z., & Costas, R. (2020). Tracking the Twitter attention around the research efforts on the COVID-19 pandemic. arXiv preprint arXiv:2006.05783. https://arxiv.org/abs/2006.05783 

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