Navigating the First Year of the Ukrainian Battlefield: Machine Learning vs. Large Language Models
Abstract:
In an era marked by impressive technological developments, conflicts persist and are rooted in complex historical and socioeconomic dynamics, also manifesting through social media platforms. While the war in Ukraine garnered global attention and prompted humanitarian and strategic responses, more efforts are necessary to understand its dynamics and implications directly by analysing the discourses of Ukrainian people in raising unconventional social media platforms like Telegram and TikTok. Accordingly, this research deploys a Data Science approach for building a set of Machine Learning and Large Language Models for analysing discourses and sentiments of Ukrainian users in the first year of war.
AUTHORS
Open University
Heerlen, Netherlands
Clara Maathuis is Assistant Professor in AI and Cyber Security at Open University, in the Netherlands. She holds a PhD in AI and Military Cyber Operations from Delft University of Technology and conducts research on building responsible and trustworthy AI systems in the military, cyber security, social media, and XR domains
Open University
Heerlen, Netherlands
Iddo Kerkhof is an AI and Software Engineer and researcher in the Netherlands. He has a vast practical experience in building software engineering, deep learning, and NLP applications in various domains.
Published In
Journal of Information Warfare
The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.
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