Russo Ukrainian

The Russo-Ukrainian War has become a focal point for research examining the interplay of information warfare, propaganda, and its impact on public perception and human rights. Current research utilizes computational linguistics, machine learning (including large language models and deep neural networks), and inverse reinforcement learning to analyze online narratives, detect misinformation, and model the evolution of sentiments across various platforms like Telegram and Twitter. These studies provide valuable insights into the dynamics of online conflict, enabling a deeper understanding of propaganda strategies, the spread of disinformation, and the detection of human rights violations, with implications for humanitarian aid, conflict resolution, and the development of more robust online safety measures.