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JDR Vol.15 No.4 pp. 530-533
(2020)
doi: 10.20965/jdr.2020.p0530

Letter:

Trends of Tweets on the Coronavirus Disease-2019 (COVID-19) Pandemic

Natt Leelawat*,**,†, Jing Tang**,***, Kumpol Saengtabtim*, and Ampan Laosunthara**

*Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University
Phayathai Road, Pathumwan, Bangkok 10330, Thailand

Corresponding author

**Disaster and Risk Management Information Systems Research Group, Chulalongkorn University, Bangkok, Thailand

***International School of Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

Received:
March 14, 2020
Accepted:
May 10, 2020
Published:
June 1, 2020
Keywords:
COVID-19, novel Coronavirus 2019, social networking services, quantitative text analysis, Twitter
Abstract

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.

Cite this article as:
N. Leelawat, J. Tang, K. Saengtabtim, and A. Laosunthara, “Trends of Tweets on the Coronavirus Disease-2019 (COVID-19) Pandemic,” J. Disaster Res., Vol.15, No.4, pp. 530-533, 2020.
Data files:
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Last updated on Dec. 01, 2020