Articlediamond2020

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

Natt Leelawat · Jing Tang · Kumpol Saengtabtim · Ampan Laosunthara

21 citations0/0 files storedJournal of Disaster Research

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Communication and COVID-19 Impact Public Relations and Crisis Communication Discourse Analysis and Cultural Communication

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.

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References

2015Detecting themes of public concern: A text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat 2016Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat 2020The Acceptance of Using Information Technology for Disaster Risk Management: A Systematic Review

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