This is the authors' abstract. We don't add key points for this paper.
The Severe Acute Respiratory Syndrome Coronavirus 2 is a virus causing the COVID-19 pandemic around the world. The World Health Organization (WHO) raised it to the highest level of global alert. The English, Chinese, and Japanese language Twitter data related to this disease during the first period after the WHO started releasing the situation reports were collected and compared with the tweet trends. This study also used quantitative text analysis to extract and analyze the co-occurrence network of English tweets. The findings show that trends and public concerns in social media are related to the breaking news and global trends such as the confirmed cases, the reported death tolls, the quarantined cruise news, the informer, etc.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Leelawat et al. (2020) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: