Analyzing the dynamics of disinformation and fact-checking in the Russian-Ukrainian war according to game theory: An analytical study and modeling based on EUvsDisinfo data (2022–2023)

13 November 2025, Version 1
This content is an early or alternative research output and has not been peer-reviewed at the time of posting.

Abstract

The Russian-Ukrainian conflict has been characterised by an unprecedented intensification of information warfare techniques, with state-sponsored disinformation campaigns becoming key components of military strategy. This study examines the strategic dynamics of fact-checking mechanisms as a countermeasure to disinformation, employing game theory to model adversarial interactions between disinformation producers and European fact-checking organisations. This paper addresses a critical lacuna in the existing literature, namely the absence of game theory-based quantitative frameworks for analysing the efficacy of fact-checking strategies in conflict contexts. Through a systematic content analysis of 925 fact-checking operations (N=925) drawn from the EUvsDisinfo database, covering the period from February 2022 to August 2023, the study taxonomises disinformation tactics and counter-strategies. It also constructs an empirical payoff matrix and identifies optimal strategic responses. This study contributes a novel and empirically grounded application of game theory to strategic communication research, providing actionable insights for practitioners.

Keywords

Game Theory
Fact-Checking
Disinformation
Strategic Communication
Information Warfare
Russia-Ukraine War
Content Analysis
EUvsDisinfo

Supplementary materials

Title
Description
Actions
Title
Euvsdisinfo dataset
Description
https://data.mendeley.com/datasets/yhdtkszvgp/3
Actions
Title
EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles
Description
https://doi.org/10.1145/3627673.3679167 https://data.mendeley.com/datasets/yhdtkszvgp
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