16-17.01.2025 training course was held «Dealing with propaganda, misinformation and fake news using AI20 Січня 2025р. 16-17.01.2025 training course was held «Dealing with propaganda, misinformation and fake news using AI&ML» 16-17 January, the Department of Mathematical Modeling and Statistics and the KNEU Science Park jointly conducted a training course on the topic «Dealing with Propaganda, Misinformation and Fake News Using AI&ML», which brought together experts from Ukraine, Sweden, Estonia, and Armenia interested in combating disinformation and propaganda. The course aimed to provide participants with practical skills and a theoretical basis for detecting, analyzing, and countering fake information using modern artificial intelligence (AI) and machine learning (ML) tools. The event was held as part of a grant project 00152/2024 «iResilience: Strengthening democratic practises and media literacy», which is funded by the SI Baltic Sea Neighbourhood Programme The training consisted of lectures, practical workshops, and group discussions. Participants had the opportunity to work with real data, build models to recognize fakes, and develop their own solutions to combat disinformation.. Main speakers and training topics: 1. Tetiana KMYTIUK,PhD in Economics, Associate Professor, Associate Professor of the Department of Mathematical Modeling and Statistics, Kyiv National Economic University named after Vadym Hetman Topic: «Disinformation as a social phenomenon: concept, types and impact on society» Topic: «Topic modeling and text summarization». Lab 2. Andriy MATVIYCHUK, Doctor of Economics, Professor, CEO at Kyiv National Economic University Science Park, Professor of the Department of Mathematical Modeling and Statistics, Kyiv National Economic University named after Vadym Hetman Topic: «Biological and Semiotic Artificial Intelligence, and Machine Learning Methods in Solving Complex Cognitive Problems» Topic: «Language recognition tasks and tools». Lab 3. Vasyl DERBENTSEV, PhD in Economics, Associate Professor,Professor of the Department of Informatics and Systemology, Kyiv National Economic University named after Vadym Hetman Topic: «Using LLMs to Identify Fakes and Disinformation in Digital Media» Topic: «Practical of Implementation and Use of LLMs to Identify Fakes and Disinformation in Digital Media». Case study 4. Volodymyr SKITSKO, PhD in Economics, Associate Professor, Associate Professor of the Department of Mathematical Modeling and Statistics, Kyiv National Economic University named after Vadym Hetman Topic: «Opportunities, Challenges, and Threats of Using Generative AI in Creating Fakes» 5. Vasyl MELNYK, in Mathematics and Physics, Yuriy Fedkovych Chernivtsi National University Topic: «Hybrid Approaches in NLP: Combining Traditional Algorithms and Fuzzy Logic for Textual Insights». Case study 6. Halyna VELYKOIVANENKO, PhD in Mathematics and Physics, Professor,Deputy of the Department of Mathematical Modeling and Statistics, Kyiv National Economic University named after Vadym Hetman Topic: «Text processing and segmentation based on deep neural network models». Lab 7. Olha KATUNINA,PhD in Economics, Associate Professor, Associate Professor of the Department of Mathematical Modeling and Statistics, Kyiv National Economic University named after Vadym Hetman Topic: «Text pre-processing and feature space creation for NLP». Lab 8. Vitalii BEZKOROVAINYI, PhD in Economics, Associate Professor,Professor of the Department of Informatics and Systemology, Kyiv National Economic University named after Vadym Hetman Topic: «Text generation in natural language processing systems: methods, algorithms, tools and areas of application» Materials:
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