Comparing Russian and Ukrainian media frames during the war: A mixed-method semantic network approach

Authors

  • Ilya Sulzhytski University of Innsbruck, Institute of Slavic Studies, Austria
  • Olga Matveieva Dnipro University of Technology, Institute of Public Administration, Ukraine; Ruhr-University Bochum, Marie Jahoda Center for International Gender Studies, Germany
  • Vasil Navumau Ruhr-University Bochum, Institute of Social Movements, Germany
  • Dmytro Khutkyy University of Tartu, Johan Skytte Institute of Political Studies, Estonia

DOI:

https://doi.org/10.24434/j.scoms.2024.03.4100

Keywords:

media frames, Telegram, network analysis, mixed methods, Russia, Ukraine, war, 2022 Russian invasion

Abstract

During the 2022–2023 phase of the Russo-Ukrainian war, information flows were intensively framed by both sides, predominantly via various Telegram channels. This article implements a mixed-method semantic network approach to analyse media framing in the context of this conflict, exemplified through a case study of Mariupol and Azovstal siege. Although prior research highlighted contrasting framing patterns in Russian and Ukrainian media, a comprehensive comparative analysis of media frames during the ongoing war still needs to be conducted. Our study addresses this gap by investigating and interpreting the inter-conceptual relationships surrounding the frames within the selected four Russian and Ukrainian Telegram channels. We examine variations in framing among conflicting sides and oppositional media and reveal four issue-specific conflict frames, each depicting diverse representations of the main events, actors, and their roles. Our find-ings contribute to a more nuanced understanding of the conflict’s cultural and ideological background and lay a foundation for further exploration of generic frames in Russian and Ukrainian media.

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Published

2024-12-22

How to Cite

Sulzhytski, I., Matveieva, O., Navumau, V., & Khutkyy, D. (2024). Comparing Russian and Ukrainian media frames during the war: A mixed-method semantic network approach. Studies in Communication Sciences, 24(3), 303–321. https://doi.org/10.24434/j.scoms.2024.03.4100