In response to disinformation and propaganda from Russian online media following the invasion of Ukraine, Russian media outlets such as Russia Today and Sputnik News were banned throughout Europe. To maintain viewership, many of these Russian outlets began to heavily promote their content on messaging services like Telegram. In this work, we study how 16 Russian media outlets interacted with and utilized 732 Telegram channels throughout 2022. Leveraging the foundational model MPNet, DP-means clustering, and Hawkes processes, we trace how narratives spread between news sites and Telegram channels. We show that news outlets not only propagate existing narratives through Telegram but that they source material from the messaging platform. For example, across the websites in our study, between 2.3% (ura.news) and 26.7% (ukraina.ru) of articles discussed content that originated/resulted from activity on Telegram. Finally, tracking the spread of individual topics, we measure the rate at which news outlets and Telegram channels disseminate content within the Russian media ecosystem, finding that websites like ura.news and Telegram channels such as @genshab are the most effective at disseminating their content.

翻译：为应对俄罗斯在入侵乌克兰后通过在线媒体散播的虚假信息和宣传，俄罗斯今日（Russia Today）和斯普特尼克新闻（Sputnik News）等俄罗斯媒体在全欧洲范围内遭到封禁。为维持受众规模，许多此类俄罗斯媒体开始大力在Telegram等即时通讯服务上推广其内容。本研究通过运用基础模型MPNet、DP-means聚类算法及霍克斯过程（Hawkes processes），分析了2022年间16家俄罗斯媒体与732个Telegram频道间的互动与内容利用模式。我们追踪了叙事如何在新闻网站与Telegram频道间传播，并揭示新闻媒体不仅通过Telegram传播既有叙事，还从该通讯平台获取素材。例如，在本研究涵盖的网站中，涉及源自Telegram活动内容的文章比例从ura.news的2.3%到ukraina.ru的26.7%不等。最后，通过追踪特定话题的传播路径，我们测量了新闻媒体与Telegram频道在俄罗斯媒体生态系统中传播内容的速度，发现如ura.news等网站和@genshab等Telegram频道在内容传播方面最为高效。