معرفی
Orsolya Ring serves as an Assistant Professor at the Institute of Historical Studies, Eötvös Loránd University (ELTE), and as a Senior Researcher at the Institute of Political Science, Centre for Social Sciences, Hungarian Academy of Sciences. She maintains dual institutional affiliations that reflect her interdisciplinary research bridging historical studies, political science, and computational methods. At ELTE, she is associated with the Faculty of Humanities and the Department of Auxiliary Studies of History, while at the Hungarian Academy of Sciences, she works within the Department of Governance and Public Policy.
Dr. Ring's research spans quantitative methods, artificial intelligence, text mining, sentiment and emotion analysis, content analysis, and social history with particular focus on the Hungarian socialist era. Her work addresses the challenge of applying computational methods to the morphologically rich Hungarian language, developing specialized tools and datasets for political text analysis. She has created manually annotated sentiment datasets for Hungarian political news (5700 sentences) and fine-tuned language models like HunEmBERT specifically for Hungarian political communication analysis.
Her publication trajectory reveals an evolution from foundational work on text mining in R toward increasingly sophisticated AI applications in historical and political analysis. Her recent work focuses on transformer-based models for sentiment classification, multilingual policy topic classification, and geopolitical analysis of media representation. Simultaneously, she maintains significant contributions to cultural and theatre history, examining institutions like the National Theatre and József Attila Theatre within their political contexts during the socialist period.
Dr. Ring leads several major research projects including 'Identifying News Slant in Crisis Communication Using Artificial Intelligence' (Visegrad Fund), 'V-SHIFT MOMENTUM' studying shifting global allegiances of Visegrád countries, 'PROMPT' researching misinformation propagation, 'MORES' (Horizon EU) examining moral emotions in politics, and 'PLEDGE' (Horizon EU) investigating politics of grievance and democratic governance. These projects demonstrate her commitment to applying computational methods to pressing questions in political science and historical analysis.
