Disinformation using artificial intelligence technologies – akey component of Russian hybrid warfare

Ina Virtosu () and Mihai Goian ()
Additional contact information
Ina Virtosu: University of Macau, SAR Macau, China
Mihai Goian: National School of Political and Administrative Studies SNSPA, Romania

Smart Cities International Conference (SCIC) Proceedings, 2023, vol. 11, 197-222

Abstract: For over a decade, the Russian Federation has been at the forefront of hybrid warfare, deploying highly developed capabilities to carry out cyberattacks, political and social subversion, the exploitation of societal tensions, corrupt financial influence, and disinformation operations campaigns worldwide. The primary objective of Russia’s disinformation campaign is to distort public opinion formation, undermine confidence in institutions, denigrate political leadership, widen social divide, and meddle with election processes where it has a certain level of interest. The Russian invasion of Ukraine has brought with it a deluge of disinformation and misinformation. Although it became routine for major events to generate fabricated news, images, and video, the war in Ukraine is featuring a whole new set of characteristics and the extensive use of machine learning that will influence how readers react to fake media. Fast advancements in information technology, particularly the use of artificial intelligence (AI), have changed the methods in which information and disinformation may be created and disseminated, making more difficult to differentiate falsehood from real information. In such tensioned environment, websites born to churn out misinformation that operate purely for spreading Kremlin propaganda have launched a real campaign to defend Kremlin right to war. This research paper explores the use of AI in the context of Russian hybrid war, such as user profiling, bot farms, micro-targeting, and deep fakes. The article also examines the ways in which AI can be used to counter such disinformation online and reviews a number of solutions that could help address the spread of AI-powered disinformation for improving the online environment

Keywords: social media; artificial intelligence; algorithms; fact-check; deep fakes (search for similar items in EconPapers)
JEL-codes: O35 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://scrd.eu/index.php/scic/article/view/492/454 (application/pdf)
https://scrd.eu/index.php/scic/article/view/492 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pop:procee:v:11:y:2023:p:197-222

Access Statistics for this article

More articles in Smart Cities International Conference (SCIC) Proceedings from Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration Contact information at EDIRC.
Bibliographic data for series maintained by Professor Catalin Vrabie ().