Russian military bloggers: Corpus and dataset of collected posts, 2022–2023

The ongoing war in Ukraine has generated unprecedented volumes of digital data across multiple domains, from weapons effectiveness and battlefield casualties to military communications and economic impacts. This digitalization of warfare has created new opportunities for computational social science research, paralleling the broader trend of increasing digital traces in human activities. Our study focuses on the communications and subsequent reactions within Russian military bloggers' (``milbloggers'') Telegram channels, specifically examining their war-related content in the original Russian langiage. These communications have emerged as a crucial component of the Russian information sphere, potentially influencing war policy and political decision-making. Telegram's perceived security features, including robust encryption and privacy protocols, have made it a preferred platform for such discourse. The Russian leadership has strategically utilized milbloggers' posts and their audience reactions as both a barometer of public sentiment and a tool for shaping public opinion regarding the conflict's developments. While quantifying the effectiveness of these influence operations remains challenging due to data limitations, our analysis concentrates on the observable ``input'' - the milbloggers' posts and their associated reactions. This dataset provides valuable insights into the ongoing conflict and serves as a foundation for modeling public opinion dynamics and sentiment evolution in digital warfare contexts.

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Publication Details

Journal
Data in Brief
Published
2025-09-04
DOI
https://doi.org/10.1016/j.dib.2025.112015
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
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article

Russian military bloggers: Corpus and dataset of collected posts, 2022–2023

Giampiero Giacomello, Aidar Zinnatullin, Marco Albertini
Data in Brief
Misinformation and Its Impacts
article

Russian military bloggers: Corpus and dataset of collected posts, 2022–2023

Giampiero Giacomello, Aidar Zinnatullin, Marco Albertini
article en

Abstract

The ongoing war in Ukraine has generated unprecedented volumes of digital data across multiple domains, from weapons effectiveness and battlefield casualties to military communications and economic impacts. This digitalization of warfare has created new opportunities for computational social science research, paralleling the broader trend of increasing digital traces in human activities. Our study focuses on the communications and subsequent reactions within Russian military bloggers' (``milbloggers'') Telegram channels, specifically examining their war-related content in the original Russian langiage. These communications have emerged as a crucial component of the Russian information sphere, potentially influencing war policy and political decision-making. Telegram's perceived security features, including robust encryption and privacy protocols, have made it a preferred platform for such discourse. The Russian leadership has strategically utilized milbloggers' posts and their audience reactions as both a barometer of public sentiment and a tool for shaping public opinion regarding the conflict's developments. While quantifying the effectiveness of these influence operations remains challenging due to data limitations, our analysis concentrates on the observable ``input'' - the milbloggers' posts and their associated reactions. This dataset provides valuable insights into the ongoing conflict and serves as a foundation for modeling public opinion dynamics and sentiment evolution in digital warfare contexts.

Data in BriefVol. 62
University of Kaiserslautern (DE), University of Koblenz and Landau (DE), Department of Social Sciences (RU), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Openalex Percentile: Top 68%
Misinformation and Its Impacts
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Russian military bloggers: Corpus and dataset of collected posts, 2022–2023 — Giampiero Giacomello, Aidar Zinnatullin, et al. · Data in Brief (2025) | TGRS Research Map | TGRS