Research Interests

quantitative methods, artificial intelligence, text mining, sentiment and emotion analysis, content analysis, social history

Selected Publications

Miklós SEBŐK, Orsolya RING, Márk György KIS, Martin Balázs BÁNÓCZY, Ágnes DINNYÉS:
The geopolitics of vaccine media representation in Orbán’s Hungary—an AI-supported sentiment analysis, Journal of Computational Social Science (2024)

Miklós SEBŐK, Ákos MÁTÉ, Orsolya RING, Viktor KOVÁCS, Richárd LEHOCZKI:
Leveraging Open Large Language Models for Multilingual Policy Topic Classification: The Babel Machine Approach, Social Science Computer Review (2024)

Orsolya RING, Martina Katalin SZABÓ, Csenge GUBA, Bendegúz VÁRADI, István ÜVEGES:
Approaches to sentiment analysis of Hungarian political news at the sentence level, Language Resources and Evaluation (2024)

Üveges, I.; Ring, O. (2023) HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication, IEEE Access.

Sebők, M., Ring, O, Máté, Á. (2021) Szövegbányászat és mesterséges intelligencia R-ben. Budapest, Typotex.

Research Projects

Identifying News Slant in Crisis Communication Using Artificial Intelligence – Supported by Visegrad Fund (ID: 22310057)

V-SHIFT MOMENTUM - The shifting global allegiances of the Visegrád countries in the time of war

PROMPT - Predictive Research On Misinformation & Propagation Trajectories

MORES - Moral Emotions in Politics: How they unite, how they divide – Horizon EU

PLEDGE - Politics of Grievance and Democratic Governance – Horizon EU