Використання ChatGPT для виявлення пропаганди та дезінформації в умовах російсько-української війни
The article examines the potential of using ChatGPT as a tool for detecting, analyzing, and countering propaganda and disinformation in the context of the russia-Ukraine war. The authors emphasize that the modern information space has become a critical battleground where manipulations, emotionally charged messages, distorted data, and propagandist techniques are widely employed to influence public opinion. The research is based on the analysis of over 1,500 messages from Telegram channels with diverse topics and audiences, including a public figure’s personal channel, local news channels, a national-level news channel, and a channel focusing on military events. Of these, 154 messages were selected that contained manipulative elements, including emotional appeals (fear, anger, compassion, hope), distortion of facts, selective presentation of information, and appeals to authority. The AI model identifies emotional triggers, reveals biased generalizations, and highlights logical fallacies often used to manipulate audiences. The results demonstrate that using ChatGPT enhances critical thinking by providing users with recommendations for content analysis. At the same time, the authors highlight the risks of utilizing artificial intelligence to generate propaganda materials, underscoring the importance of ethical use of these technologies. The conclusions emphasize the prospects for integrating ChatGPT into Ukraine’s information security systems to enable the early detection of disinformation campaigns. Additionally, the development of media literacy training programs is highlighted as a crucial step. Such initiatives will strengthen civil society’s resilience to manipulative influences, raising the level of media literacy and fostering a critical approach to media consumption. Leveraging localized datasets for further model training could significantly enhance its efficiency in detecting propaganda and manipulation.
Publication Details
- Journal
- Технологія і техніка друкарства
- Published
- 2025-04-15
- DOI
- https://doi.org/10.20535/2077-7264.1(87).2025.318549
- Primary Topic
- Uterine Myomas and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00