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Media disinformation in the Russia-Ukraine conflict

A corpus-assisted critical discourse analysis

Bibliographic Data

ID17813452
AuthorsAlessia D’andrea (0000-0002-3724-0222), Arianna D’ulizia (0000-0002-7565-5963, corresponding author), Marco Pirrone (0009-0009-9759-3052, Institute for Research on Population and Social Policies), Giorgia Fusacchia (Institute for Research on Population and Social Policies)
Year2026
Pages1-15
Publication date2026-04-13
Open AccessYes
TypeARTICLE
VenueJournal of Information Technology & Politics (JOURNAL)
Journal identifiersISSN: 1933-169X • E-ISSN: 1933-1681
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/19331681.2026.2652900
OpenAlexW7154015336
LanguageEN
Citations received1
References cited18

Disinformation plays a key role in contemporary hybrid warfare, particularly in the Russia – Ukraine conflict, where media narratives shape public perception. This study examines whether established linguistic indicators of disinformation appear in pro-Kremlin news discourse and identifies context-specific strategies. A corpus of English-language articles from the EUvsDisinfo database (2021–2023) was analyzed using Critical Discourse Analysis and corpus linguistics, integrating quantitative measures with qualitative interpretation. Critical Discourse Analysis allows identifying the features that express meaning, reveal ideologies, and influence discourse. On the other hand, corpus linguistics provides a quantitative basis by examining the frequency and the distribution of these features in the corpus. The findings confirm the presence of known disinformation markers designed to influence the reader’s perception through text, rhetoric, and semantic manipulation mechanisms. Disinformation thus emerges as a coherent, context-driven discursive practice rather than a fixed set of features.

Critical discourse analysis · Discourse analysis · Disinformation · Fake news · Politics · Public discourse · European and Russian Geopolitical Military Strategies · Misinformation and Its Impacts · Opinion Dynamics and Social Influence

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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