Open AccessTrends of Tweets on the Coronavirus Disease-2019 (COVID-19) Pandemic
Author(s) -
Natt Leelawat,
Jing Tang,
Kumpol Saengtabtim,
Ampan Laosunthara
Publication year - 2020
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.332
H-Index - 18
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2020.p0530
Subject(s) - pandemic , covid-19 , public health , social media , coronavirus , disease , history , geography , political science , medicine , virology , infectious disease (medical specialty) , outbreak , pathology , law
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.