Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set
University of Southern California
Abstract
At the time of this writing, the coronavirus disease (COVID-19) pandemic outbreak has already put tremendous strain on many countries' citizens, resources, and economies around the world. Social distancing measures, travel bans, self-quarantines, and business closures are changing the very fabric of societies worldwide. With people forced out of public spaces, much of the conversation about these phenomena now occurs online on social media platforms like Twitter.
In this paper, we describe a multilingual COVID-19 Twitter data set that we are making available to the research community via our COVID-19-TweetIDs GitHub repository.
Citation impact
- FWCI
- 148.31
- Percentile
- 100%
- References
- 12
Authors
3- ECEmily Chen
University of Southern California
- KLKristina Lerman
University of Southern California
- EFEmilio FerraraCorresponding
University of Southern California
Topics & keywords
- Misinformation
- Social media
- Context (archaeology)
- Set (abstract data type)
- Tracking (education)
- Conversation
- Coronavirus disease 2019 (COVID-19)
- Coronavirus