Authorship：Lead author   Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

Abstract

This study focuses on how scientifically accurate information is disseminated through social media, and how misinformation can be corrected. We have identified examples on Twitter where scientific terms that have been widely misused have been rectified and replaced by scientifically accurate terms through the interaction of users. The results show that the percentage of accurate terms (“variant” or “COVID-19 variant”) being used instead of the inaccurate terms (“strain”) on Twitter has already increased since the end of December 2020. This was about a month before the release of an official statement by the Japanese Association for Infectious Diseases regarding the accurate terminology, and the use of terms on social media was faster than it was in television. Some Twitter users who quickly started using the accurate term were more likely to retweet messages sent by leading influencers on Twitter, rather than messages sent by traditional media or portal sites. However, a few Twitter users continued to use wrong terms even after March 2021, even though the use of the accurate terms was widespread. This study empirically verified that self-correction occurs even on Twitter, and also suggested that influencers with expertise can influence the direction of public opinion on social media.

DOI： 10.1007/s42001-023-00223-w

Other Link： https://link.springer.com/article/10.1007/s42001-023-00223-w/fulltext.html

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Health Care Science Institute  

DOI： 10.4091/iken.32-71

Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

This study focuses on how scientifically-correct information is disseminated through social media, and how misinformation can be corrected. We have identified examples on Twitter where scientific terms that have been misused have been rectified and replaced by scientifically-correct terms through the interaction of users. The results show that the percentage of correct terms ("variant" or "COVID-19 variant") being used instead of the incorrect terms ("strain") on Twitter has already increased since the end of December 2020. This was about a month before the release of an official statement by the Japanese Association for Infectious Diseases regarding the correct terminology, and the use of terms on social media was faster than it was in television. Some Twitter users who quickly started using the correct term were more likely to retweet messages sent by leading influencers on Twitter, rather than messages sent by traditional media or portal sites. However, a few Twitter users continued to use wrong terms even after March 2021, even though the use of the correct terms was widespread. Further analysis of their tweets revealed that they were quoting sources that differed from that of other users. This study empirically verified that self-correction occurs even on Twitter, which is often known as a "hotbed for spreading rumors." The results of this study also suggest that influencers with expertise can influence the direction of public opinion on social media and that the media that users usually cite can also affect the possibility of behavioral changes.

DOI： 10.1145/3486622.3493982

Authorship：Lead author   Publishing type：Research paper (international conference proceedings)   Publisher：ACM / IW3C2  

DOI： 10.1145/3366424.3382700

Total pages：136   Responsible for pages：69-86   Language：English Book type：Scholarly book

DOI： 10.4324/9781003143536-5

CiNii Books

ASIN

Language：Japanese   Publishing type：Meeting report  

DOI： 10.11517/jjsai.37.3_391

Event date： 2024.1.3 - 2024.1.6

Presentation type：Symposium, workshop panel (nominated)  

Event date： 2022.6.14 - 2022.6.17

Language：Japanese   Presentation type：Oral presentation (general)  

Event date： 2022.5.26 - 2022.5.30

Language：English   Presentation type：Poster presentation  

File： [Poster]v.1.6.ICA_2022_Hunin_Lim_Toriumi_Tanaka.jpg

Event date： 2024.4.18 - 2024.4.19

Language：English   Presentation type：Oral presentation (invited, special)  

Event date： 2024.3.11 - 2024.3.13

Language：Japanese   Presentation type：Oral presentation (general)  

Author：Other 

Author：Other