Russian Medium

Research on the "Russian medium" focuses on understanding information flows and manipulation within Russian-language online spaces, including social media and news outlets. Current studies employ machine learning models, such as transformer networks and LSTM networks, to analyze textual data, detect sentiment, map influence networks, and identify disinformation campaigns. This work is significant for its contributions to computational linguistics, particularly in low-resource languages, and for its implications for understanding propaganda, political influence, and public opinion formation in the context of geopolitical events. The development of robust methods for analyzing Russian-language online content has broad applications in areas such as cybersecurity, political science, and social media analysis.