DEVELOPMENT OF AN INTELLECTUAL SYSTEM FOR DETECTION OF INFORMATION IMPACT ON THE POPULATION OF THE VICTIM COUNTRY BY THE MILITARY AGGRESSOR COUNTRY
DOI:
https://doi.org/10.17721/3041-2323.2025.224-242Keywords:
digital space, social networks, fake news, message tone analysis, information warfare, cyberattack, social graphs, nodes of influenceAbstract
The article considers the creation of a system capable of automatically detecting and analyzing fake news, in particular, determining the emotional component of such news; identifying the primary sources of messages with such news and ways of their distribution. First, the digital space in general is analyzed - to identify its segments that touch or penetrate the Ukrainian digital space, the ways of such penetration, and then methods of counteraction. The results obtained can be used to build complex systems of passive and active counteraction in hybrid warfare.
References
Horbulin, V.P., Dodonov, O.H., Lande, D.V. (2009). Informatsiini operatsii ta bezpeka suspilstva: zahrozy, protydiia, modeliuvannia. Kyiv: Intertekhnolohiia.
Horokhovskyi, O. (2018). Faktchek yak trend rozsliduvan: mozhlyvosti ta perspektyvy. Praha: KUFR
Lozynska, O.V., Markiv, O.O., Vysotska, V.A. (2025). Metod vyiavlennia rozpovsiudzhuvachiv dezinformatsii na osnovi hrafovoho predstavlennia struktury sotsialnoi merezhi. Tsentralno-ukrainskyi naukovyi visnyk. Tekhnichni nauky, 11(42), 70-78. https://doi.org/10.32515/2664-262X.2025.11(42).2.70-78
CGC: Cyber Grand Challenge. https://www.darpa.mil/research/programs/cyber-grand-challenge
Dehghani, F., & Zaman, L. (2024). Exploring Players’ Perspectives: A Comprehensive Topic Modeling Case Study on Elden Ring. Information, 15(9), 573. https://doi.org/10.3390/info15090573
Maltego Technical Documentation and User Guide (2025). https://docs.maltego.com/en/support/home
pyLDAvis (2025). https://pyldavis.readthedocs.io/en/latest/readme.html
Shodan Search Engine for the Internet of Everything. https://www.shodan.io/
SpiderFoot automates OSINT for threat intelligence and mapping your attack surface (2025). https://github.com/smicallef/spiderfoot
Tilley, S. (2024). Smart Logistics: Navigating the AI Frontier in Sustainment Operations. Army Sustainment Magazine, October 17, 2024. https://www.army.mil/article/280377/
Topic Modeling BERT+LDA (2025) https://www.kaggle.com/code/dskswu/topic-modeling-bert-lda
Wang, Y., Willis, E., Yeruva, V.K. et al. (2023). A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises. BMC Public Health 23, 935. https://doi.org/10.1186/s12889-023-15882-7
Zhang, Li Ang, Yusuf Ashpari, and Anthony Jacques (2024). Understanding the Limits of Artificial Intelligence for Warfighters. Volume 3, Predictive Maintenance. Santa Monica, CA: RAND Corporation. https://www.rand.org/pubs/research_reports/RRA1722-3.html
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