Graduate School of Engineering, The University of Tokyo, Tokyo, 113-0033, Japan.
Institute of Business Sciences, University of Tsukuba, Tokyo, 112-0012, Japan.
Sci Rep. 2024 May 2;14(1):10155. 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.
俄罗斯政府长期以来一直将宣传和虚假信息作为外交政策的重要组成部分。自 2022 年 2 月入侵乌克兰以来,这种情况更是达到了新的高度。在这项研究中,我们调查了入侵开始的头几周内俄语社交媒体中存在的假信息,涵盖了 6 种语言:英语、日语、西班牙语、法语、德语和韩语。我们使用 Twitter 数据,应用网络和语言嵌入模型的组合,以识别每种语言中用户之间流行的假信息主题。尽管英语用户在 Twitter 上形成了最主要的语言基础,但我们发现,在某些主题上,日语中的假信息流行度经常超过英语。西班牙语用户分享的假信息在比例上也超过了其用户基数。我们的研究结果提供了对每种语言中假信息当前状态的深入了解。虽然我们讨论了语言代表性过高等因素背后的一些可能驱动因素,但我们的研究还强调了需要进行更多跨语言假信息研究,以便在真正的全球背景下更好地理解这一现象。