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

Natt Leelawat; Jing Tang; Kumpol Saengtabtim; Ampan Laosunthara

doi:10.20965/jdr.2020.p0530

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.

Content from these authors

This article cannot obtain the latest cited-by information.

This article is licensed under a Creative Commons [Attribution-NoDerivatives 4.0 International] license (https://creativecommons.org/licenses/by-nd/4.0/).
The journal is fully Open Access under Creative Commons licenses and all articles are free to access at JDR Official Site.
https://www.fujipress.jp/jdr/dr-about/

Favorites & Alerts

Corresponding author

Correction information

Register with J-STAGE for free!