In the digital trenches of the Russia-Ukraine war, a new study reveals how online hate festers and spreads. Researchers have developed a powerful tool to dissect the language of "othering," the process of demonizing enemy groups. This AI-powered system analyzes millions of Telegram messages from war bloggers, uncovering the subtle ways they portray their opponents as existential threats. The study finds that this "othering" language, often cloaked in moral rhetoric, thrives during times of crisis and attracts significant attention. For example, after events like US aid announcements or battlefield gains and losses, there's a surge in posts demonizing the enemy. The analysis reveals a striking difference: Russian bloggers focus on cultural threats and Western aggression, portraying themselves as victims. Ukrainians, on the other hand, emphasize physical threats and their own vulnerability. What's particularly concerning is the discovery that messages containing this kind of hateful language gain more views, suggesting that online platforms may inadvertently reward it. This research unveils a crucial link between online hate speech and real-world conflict, raising important questions about how to counter its spread. The research team stresses the need for greater awareness of these tactics, both to protect vulnerable groups and to build a more resilient information ecosystem. Future research will explore how these dynamics play out in other conflicts and online communities, aiming to identify effective countermeasures and curb the escalating cycle of online hate.