論文

査読有り 本文へのリンクあり
2021年12月

Do you trust experts on Twitter?: Successful correction of COVID-19-related misinformation

The 20th IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)
  • Dongwoo Lim
  • ,
  • Fujio Toriumi
  • ,
  • Mitsuo Yoshida

開始ページ
518
終了ページ
523
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1145/3486622.3493982

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.

リンク情報
DOI
https://doi.org/10.1145/3486622.3493982 本文へのリンクあり
共同研究・競争的資金等の研究課題
現代メディア空間におけるELSI構築と専門知の介入
共同研究・競争的資金等の研究課題
社会リスク可視化システム、及び社会リスクに適切に対応する意思決定システムの開発
URL
https://arxiv.org/abs/2112.07230 本文へのリンクあり
ID情報
  • DOI : 10.1145/3486622.3493982

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