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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. [ABSTRACT FROM AUTHOR]