在俄罗斯入侵乌克兰期间,多语言分析推特上支持俄罗斯的错误信息
Cameron Lai1, Fujio Toriumi2, Mitsuo Yoshida3
1Graduate School of Engineering, The University of Tokyo, Tokyo, 113-0033, Japan. cameron.lai@torilab.net.
Scientific reports
|May 2, 2024
概括
在乌克兰入侵期间,俄罗斯政府的宣传激增. 这项研究分析了推特上六种语言的亲俄罗斯错误信息,发现了日本和西班牙语的显著参与,突出了跨语言研究的必要性.
科学领域:
- 政治科学 政治科学是指政治学.
- 计算社会科学 计算社会科学
- 国际关系 国际关系
背景情况:
- 俄罗斯政府利用宣传和虚假信息作为外交政策的关键工具.
- 这些策略在2022年2月对乌克兰的入侵之后加剧了.
研究的目的:
- 调查乌克兰入侵最初几周的亲俄罗斯错误信息.
- 分析六种语言的错误信息模式:英语,日语,西班牙语,法语,德语和韩语.
主要方法:
- 利用推特数据进行分析.
- 应用了网络分析和语言嵌入模型的组合.
- 在每个语言群体中确定了流行的错误信息主题.
主要成果:
- 亲俄罗斯的错误信息在日语中的受欢迎程度经常超过特定主题的英语.
- 西班牙语的错误信息相对于其用户群的规模来说是过度的.
- 确定了在研究语言中普遍存在的关键错误信息主题.
结论:
- 这项研究提供了有关亲俄罗斯错误信息的现有情景的见解.
- 语言的过度表现表明了不同的参与动态.
- 强调进一步跨语言的错误信息研究对于全球理解的关键需求.
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