Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 50th Annual Conference of the Institute of Image Electronics Engineers of Japan 2022
Session ID : S3-2
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An Analysis of False Information and Denial/Correction Tweets Related to the COVID-19 Vaccine
*Ryunosuke ISHIKAWAFuki SAKAMOTOOsamu UCHIDAKeisuke UTSU
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Abstract
Novel Coronavirus infections (COVID-19) have spread since 2020, and a variety of information on infectious diseases has been shared on Twitter. In Japan, the vaccination began in February 2021, however false information about the vaccine and posts (tweets) denying or correcting the false information have been shared since that time. In order to suppress social confusion, it is necessary to prevent the spread of false information. Therefore, it is crucial to clarify the characteristics of tweets denying or correcting false information. In this study, we focus on “infertility” and “microchip” as keywords related to false information about the vaccine, and collect tweets containing each keyword. Then we divide those tweets into those that deny or correct the false information and others, and compare the tweets with a large number of retweets. Moreover, we clarify the characteristics of the posters of the tweets that deny or correct the false information.
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© 2022 The Institute of Image Electronics Engineers of Japan
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