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Learn From the Rumors: International Comparison of COVID-19 Online Rumors Between China and the United Kingdom.

Authors :
Liu, Fei
Zuo, Meiyun
Source :
Journal of Database Management; Jul-Sep2021, Vol. 32 Issue 3, p1-23, 23p
Publication Year :
2021

Abstract

The COVID-19 pandemic is an ongoing global pandemic, which has caused global social and economic disruption. In addition to physical illness, people have to endure the intrusion of rumors psychologically. Thus, it is critical to summarize the correlating infodemic, a significant part of COVID-19, to eventually defeat the epidemic. This article aims to mine the topic distribution and evolution patterns of online rumors by comparing and contrasting COVID-19 rumors from the two most popular rumor-refuting platforms—Jiaozhen in China and Full Fact in the United Kingdom (UK)—via a novel topic mining model, text clustering based on bidirectional encoder representations from transformers (BERT), and lifecycle theory. This comparison and contrast can enrich the research of infodemiology based on the spatio-temporal aspect, providing practical guidance for governments, rumor-refuting platforms, and individuals. The comparative study highlights the similarities and differences of online rumors about global public health emergencies across countries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10638016
Volume :
32
Issue :
3
Database :
Complementary Index
Journal :
Journal of Database Management
Publication Type :
Academic Journal
Accession number :
151209254
Full Text :
https://doi.org/10.4018/JDM.2021070103