Retrospective analysis of controversial topics on COVID-19 in Japan
13th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021
; : 510-517, 2021.
Article
in English
| Scopus | ID: covidwho-1703449
ABSTRACT
For efficient policy-making, a thorough recognition of controversial topics is crucial because the cost of unmitigated controversies would be extremely high for society. However, identifying controversial topics is costly. In this paper, we proposed a framework to search for controversial topics comprehensively. We then conducted a retrospective analysis of the controversial topics of COVID-19 with data obtained via Twitter in Japan as a case study of the framework. The results show that the proposed framework can effectively detect controversial topics that reflect current reality. Controversial topics tend to be about the government, medical matters, economy, and education;moreover, the controversy score had a low correlation with the traditional indicators-scale and sentiment of the topics-which suggests that the controversy score is a potentially important indicator to be obtained. We also discussed the difference between highly controversial topics and less controversial ones despite their large scale and sentiment. © 2021 ACM.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
Language:
English
Journal:
ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021
Year:
2021
Document Type:
Article
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