論文

査読有り 本文へのリンクあり 国際誌
2024年5月2日

A multilingual analysis of pro Russian misinformation on Twitter during the Russian invasion of Ukraine

Scientific Reports
  • Cameron Lai
  • ,
  • Fujio Toriumi
  • ,
  • Mitsuo Yoshida

14
10155
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/s41598-024-60653-y

The Russian government has long since engaged in an information campaign of propaganda and disinformation as a major part of foreign policy. This has been taken to new heights since the invasion of Ukraine in February 2022. In this study, we investigate pro-Russian misinformation within the opening weeks of the invasion in 6 languages: English, Japanese, Spanish, French, German, and Korean. Using Twitter data, we apply a combination of network and language embedding models to identify popular topics of misinformation amongst users in each language. Despite English users forming the most dominant language base on Twitter, we find that the popularity of misinformation in Japanese regularly outstrips English for certain topics. Misinformation shared by Spanish users is also over-represented in proportion to its much smaller user base. Our results provide insight into the current state of misinformation in each language. While we discuss some of the possible drivers behind the factors such as language over-representation, our study also highlights the need for further cross-lingual misinformation research in order to better understand this phenomena in a truly global context.

リンク情報
DOI
https://doi.org/10.1038/s41598-024-60653-y 本文へのリンクあり
共同研究・競争的資金等の研究課題
偽情報と政治的分断に関する東アジア諸国を中心とした包括的研究
共同研究・競争的資金等の研究課題
報道・議論の視点に着目した情報獲得支援に関する研究
URL
https://www.nature.com/articles/s41598-024-60653-y.pdf 本文へのリンクあり
URL
https://www.nature.com/articles/s41598-024-60653-y 本文へのリンクあり
ID情報
  • DOI : 10.1038/s41598-024-60653-y
  • eISSN : 2045-2322

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