Partial Mobilization: Tracking Multilingual Information Flows Amongst Russian Media Outlets and Telegram
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 14 of its 73 references that are in the map. First posted on arXiv 25 Jan 2023.
Builds on
14 of 73 references.
References · 14
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- 2021On the Globalization of the QAnon Conspiracy Theory Through Telegramcited by 14
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- 2022Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Redditcited by 11
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Built on by
Citing papers per year: 2023: 2; 2024: 1; 2025: 1; 2026: 1.
5 papers.
- 2023Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websitescited by 37
- 2023Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scalecited by 7
- 2025Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websitescited by 1
- 2024Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine Warcited by 0
- 2026Unifying Models of Intergroup Hostility in Online Discoursecited by 0
- 2026Unifying Models of Intergroup Hostility in Online Discourse17 Sep 2026
- 2025Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites15 Jan 2025
- 2024Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War12 Sep 2024
- 2023Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale3 Aug 2023
- 2023Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites16 May 2023