Empirical Studies of Russian–Ukrainian War Related Fake News (Part 2)

The Russian–Ukrainian war, which broke out on 24 February 2022, resulted in several paradigm shifts in cyberwarfare. One aspect of these changes is psychological operations. Russia and Ukraine have conducted extensive psychological operations campaigns to fulfil their war aims, which have since been intense along modified objectives. This series of studies examines the impact of war-related fake news through various empirical research. In the first part of the paper, the authors read the emergence of psychological operations and related terms in the international academic literature using network analysis methodology. In the second part of the paper, the authors use sentiment and network analysis to investigate the spread of different fake news. In the third study, the authors measure the attitudes toward the perception of the Hungarian Defence Forces from the perspective of the war in the neighbouring country.

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Publication Details

Journal
Hadmérnök
Published
2024-09-09
DOI
https://doi.org/10.32567/hm.2024.1.4
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Empirical Studies of Russian–Ukrainian War Related Fake News (Part 2)

Péter Kugler, Máté Dub, Péter Bányász, Mátyás Ináncsi
Hadmérnök
Misinformation and Its Impacts
article

Empirical Studies of Russian–Ukrainian War Related Fake News (Part 2)

Péter Kugler, Máté Dub, Péter Bányász, Mátyás Ináncsi
article en

Abstract

The Russian–Ukrainian war, which broke out on 24 February 2022, resulted in several paradigm shifts in cyberwarfare. One aspect of these changes is psychological operations. Russia and Ukraine have conducted extensive psychological operations campaigns to fulfil their war aims, which have since been intense along modified objectives. This series of studies examines the impact of war-related fake news through various empirical research. In the first part of the paper, the authors read the emergence of psychological operations and related terms in the international academic literature using network analysis methodology. In the second part of the paper, the authors use sentiment and network analysis to investigate the spread of different fake news. In the third study, the authors measure the attitudes toward the perception of the Hungarian Defence Forces from the perspective of the war in the neighbouring country.

HadmérnökVol. 19(1)
Ludovika University of Public Service (HU), Southern New Hampshire University (US)
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Openalex Percentile: Top 76%
Misinformation and Its Impacts
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