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Steingartner, William
Galinec, Darko
Vaľko, Dávid
Ádám, Norbert
2025-08-21T07:34:05Z
2025-08-21T07:34:05Z
2024
1785-8860hu_HU
http://hdl.handle.net/20.500.14044/32521
Recognizing truth from lies has become a critical and challenging task in our current environment, which is flooded with abundant information from various sources and platforms. The existence of false information and manipulative content in the public sphere is not an entirely novel phenomenon. On the other hand, the modern-day circumstance is one of a kind because of the rapid dissemination of a big quantity of false information, particularly via social media and smartphone applications. This presents an unprecedented challenge. The prevalence of contamination in the realm of information, along with the complex network of individuals, methods, and reasons behind this false information, now represent a key aspect of hybrid threats. An outstanding aspect is the speed at which false information disseminates through interconnected networks, platforms, and applications. This paper effectively achieved two objectives. The primary objective was to introduce a novel non-hierarchical conceptual framework for hybrid threats, with the aim of enhancing awareness and reinforcing the resilience of the system. The second objective was to investigate the feasibility of integrating AI technology to enhance the efficiency and speed of detecting and identifying growing misinformation.hu_HU
dc.formatPDFhu_HU
enhu_HU
Disinformation Campaigns: Battling Misinformation for Resilience in Hybrid Threats Modelhu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
Budapesthu_HU
Óbudai Egyetemhu_HU
Műszaki tudományok - multidiszciplináris műszaki tudományokhu_HU
conceptual model of hybrid threatshu_HU
internet resiliencehu_HU
information securityhu_HU
disinformation campaignhu_HU
Tudományos cikkhu_HU
Acta Polytechnica Hungaricahu_HU
local.tempfieldCollectionsFolyóiratcikkekhu_HU
10.12700/APH.21.10.2024.10.31
Kiadói változathu_HU
16 p.hu_HU
10. sz.hu_HU
21. évf.hu_HU
2024hu_HU
Óbudai Egyetemhu_HU


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