Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo
South China University of Technology · City University of Hong Kong · +5 more institutions
Abstract
During the ongoing outbreak of coronavirus disease (COVID-19), people use social media to acquire and exchange various types of information at a historic and unprecedented scale. Only the situational information are valuable for the public and authorities to response to the epidemic. Therefore, it is important to identify such situational information and to understand how it is being propagated on social media, so that appropriate information publishing strategies can be informed for the COVID-19 epidemic. This article sought to fill this gap by harnessing Weibo data and natural language processing techniques to classify the COVID-19-related information into seven types of situational information. We found…
Citation impact
- FWCI
- 160.05
- Percentile
- 100%
- References
- 39
Authors
9Topics & keywords
- Social media
- Situational ethics
- Situation awareness
- Data science
- Computer science
- Coronavirus disease 2019 (COVID-19)
- Information overload
- Information Dissemination
- Good health and well-being