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  5. Volume 2026, Issue 1 (2026)
  6. Modeling the Spread of Disinformation Us ...

Challenges to national defence in contemporary geopolitical situation

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Modeling the Spread of Disinformation Using the SEDPNR Epidemiological Model
Volume 2026, Issue 1 (2026), pp. 320–327
Tereza GAJÁRKOVÁ   Kamila HASILOVÁ  

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https://doi.org/10.47459/cndcgs.2026.36
Pub. online: 1 July 2026      Type: Article      Open accessOpen Access

Published
1 July 2026

Abstract

This article focuses on modeling the spread of disinformation narratives on social media using the SEDPNR epidemiological model, an extension of the basic SEIR model that takes into account the specifics of digital communication. This includes the existence of a "doubt" phase and the division of active users according to their sentiment polarity. The analyzed data describe a specific disinformation narrative, “Biolabs Ukraine,” that spread in connection with the Russian invasion of Ukraine. The results demonstrate that the dissemination of the narrative exhibits characteristics of an infodemic wave: a rapid increase, a brief peak, and a subsequent decline. The analysis confirms the significant role of active users and shows that supportive and critical reactions both contribute to the further dissemination of content.

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Keywords
disinformation information warfare SEDPNR model epidemiological modeling social media sentiment analysis narrative infodemic hybrid conflict

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Generolo Jono Žemaičio Lietuvos karo akademija Šilo g. 5A., LT-10322 Vilnius, el.p: lka@mil.lt

General Jonas Žemaitis Military Academy of Lithuania  Šilo Str. 5A, LT-10322 Vilnius, Lithuania, e-mail: lka@mil.lt

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