论文标题
偶然性：利用语义搜索跟踪有关Russo-Ikrainian战争Reddit的俄罗斯国家媒体叙事
Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit
论文作者
论文摘要
在俄罗斯联邦入侵乌克兰之后的几周内，俄罗斯州媒体媒体会产生误导性和完全虚假信息的洪流。在这项工作中，我们研究了这项协调的信息运动，以了解俄罗斯政府对英语观众吹捧的最杰出的国家媒体叙事。为此，我们首先使用大型语言模型mpnet进行句子级主题分析，该文章在十个不同的亲俄宣传网站上发表的文章中，包括新的俄罗斯“事实检查”网站waronfakes.com。在这个生态系统中，我们表明，像Katehon.com这样的较小的网站非常有效地发布主题，这些主题后来由其他俄罗斯网站回应。在分析了这套俄罗斯信息叙事之后，我们随后分析了他们的叙述和关于R/R/俄罗斯和其他10个政治副业的讨论的对应。使用MPNET和语义搜索算法，我们将这些SubredDits的评论映射到了从我们的俄罗斯网站集中提取的一系列主题，发现R/俄罗斯的评论中有39.6％的评论与Pro俄罗斯宣传网站的叙述相对应，而R/Politics则相比之下。
In the buildup to and in the weeks following the Russian Federation's invasion of Ukraine, Russian state media outlets output torrents of misleading and outright false information. In this work, we study this coordinated information campaign in order to understand the most prominent state media narratives touted by the Russian government to English-speaking audiences. To do this, we first perform sentence-level topic analysis using the large-language model MPNet on articles published by ten different pro-Russian propaganda websites including the new Russian "fact-checking" website waronfakes.com. Within this ecosystem, we show that smaller websites like katehon.com were highly effective at publishing topics that were later echoed by other Russian sites. After analyzing this set of Russian information narratives, we then analyze their correspondence with narratives and topics of discussion on the r/Russia and 10 other political subreddits. Using MPNet and a semantic search algorithm, we map these subreddits' comments to the set of topics extracted from our set of Russian websites, finding that 39.6% of r/Russia comments corresponded to narratives from pro-Russian propaganda websites compared to 8.86% on r/politics.
