Artificial Intelligence as a Tool for Countering Disinformation in Times of War: Experience and Prospects for Application in Ukraine

Authors

  • Iryna Dashko Doctor of Economic Sciences, Professor, Professor of the Department of of Human Resources and Marketing, Zaporizhzhia National University https://orcid.org/0000-0001-5784-4237
  • Oleksandr Cherep Doctor of Economic Sciences, Professor, Professor of the Department of Human Resources and Marketing, Zaporizhzhia National University https://orcid.org/0000-0002-3098-0105
  • Iuliia Kaliuzhna PhD in Economics, Associate Professor, Associate Professor of the Department of Human Resources and Marketing, Zaporizhzhia National University https://orcid.org/0000-0002-3335-6551
  • Victoria Maltuz PhD in Economics, Associate Professor, Associate Professor of the Department of Human Resources and Marketing, Zaporizhzhia National University https://orcid.org/0000-0002-3863-6456
  • Lubomir Mykhailichenko applicant for the third (educational and scientific) level of higher education in the field of knowledge 05 “Social and Behavioral Sciences”, specialty 051 “Economics” https://orcid.org/0000-0003-3545-0805

DOI:

https://doi.org/10.5281/zenodo.14760314

Keywords:

artificial intelligence, propaganda, disinformation, fact-checking, fake, media, market, tools, information space, war

Abstract

The use of artificial intelligence technologies to combat disinformation is investigated. It is proved that disinformation is a powerful tool that influences public opinion and political decisions, and its spread via the Internet covers the whole world. It is proved that in the current conditions of the Russian-Ukrainian war, where fake news and propaganda are actively used to mislead society, the use of artificial intelligence technologies to detect false information becomes an important task.

The purpose of the study is to analyze artificial intelligence in the media and assess its use in times of war and develop recommendations for using artificial intelligence to prevent the spread of fake news.

This paper uses statistical analysis methods to show the dynamics of artificial intelligence use, the number of cyberattacks by economic sector, etc.; comparative analysis to assess the effectiveness of different approaches to using artificial intelligence, as well as analytical methods to summarize the data obtained and formulate recommendations. The analysis was based on data from statistical platforms.

The study provides the forecast dynamics of the use of artificial intelligence in the media and entertainment market and its application in the protection of the information space; reveals that artificial intelligence has the potential in the media market to achieve strategic goals; shows the structure of the use of artificial intelligence in the media and entertainment market by areas; shows the consequences of using artificial intelligence systems in war; shows the dynamics of the number of cyberattacks by economic sectors; and studies the dynamics of losses from cyberattacks over the past 20 years; the main tools of artificial intelligence in the fight against disinformation are characterized; practical examples are considered, in particular: the use of bots to spread propaganda; it is substantiated that research contains an analysis of the tools of artificial intelligence technologies; it is proved that artificial intelligence technologies can be both a tool of war and a weapon of peace.

The conclusions summarize that disinformation is a powerful tool that influences public opinion and political decisions, and its spread via the Internet covers the whole world.  Prospects for further research include analyzing the impact of the use of artificial intelligence technologies on various sectors of the economy.

Published

2025-01-29

How to Cite

Dashko, I., Cherep, O., Kaliuzhna, I., Maltuz, V., & Mykhailichenko, L. (2025). Artificial Intelligence as a Tool for Countering Disinformation in Times of War: Experience and Prospects for Application in Ukraine. Current Issues of Economic Sciences, (7). https://doi.org/10.5281/zenodo.14760314