The shifting global allegiances of the Visegrád countries in a time of war
The MOMENTUM project strives to forge the definitive account of the shifting global allegiances of the Visegrád countries in the post-war period (hence: V-SHIFT) by the most extensive data collection and analysis to date. It will systematically analyse multiple decades worth of textual sources to unearth the changing reception of global powers within domestic politics and media. It applies cutting-edge AI methodology to quantify and evaluate the presence of, and attitudes towards, global powers on the domestic policy agenda in V4 countries. V-SHIFT is a poltextLAB project, supported by MTA Lendület.

News
251 V-Shift posts · showing 26–30
- 11 November 2025Miklós Sebők’s presentation on AI-assisted comparative research at University of KentuckyV-Shift · poltextlab_admin
- 10 November 2025Miklós Sebők’s workshop on Generative AI for Researchers at the University of KentuckyV-Shift · poltextlab_admin
- 8 November 2025Miklós Sebők presented new American politics dashboards at the University of Texas, AustinV-Shift · poltextlab_admin
- 7 November 2025Miklós Sebők on AI in comparative politics at the Bryan D. Jones conference in AustinV-Shift · poltextlab_admin
- 6 November 2025Ádám Kerényi chairs panel at Network for European Studies ConferenceV-Shift · poltextlab_admin
Invited Speaker Series
11 sessions — click to expand
- 2026-06-04Annelise Russell, Sean TheriaultRoundtable on the Politics of Information
- 2026-04-21Seth SchindlerGeopolitical Rivalry and the Future of Globalization
- 2025-12-09Nathalie NeptuneAn Integrated Geospatial–Policy Analysis of Forest Loss in Hungary
- 2025-10-02Nathalie NeptuneIntegrating Geospatial and Legislative Data on Forest Policy and Fire Management in Hungary
- 2025-02-25Gennadii IakovlevAffective Elite Polarization in European Parliamentary Speeches: A Novel Measurement Approach Using Large Language Models
- 2024-11-21Hubert PlisieckiBeyond the Black Box: Addressing Participant Bias in Machine Learning and Lexicon Models for Emotion Prediction from text
- 2024-10-17Jakub StauberThe Narratives of the War in Ukraine in Czech News Media
- 2024-06-18Sean TheriaultThe Policy Agendas of a Global Power: The Case of the Holy See
- 2024-05-21MA and PhD Student Presentations
- 2024-03-14Hajo BoomgaardenThe challenge of measuring disinformation
- 2023-09-28Aron BuzoganyCivil society in rougher neighborhoods
Workshops & conferences
15 events — click to expand
- 2026-04-238th Annual COMPTEXT Conference
- 2026-02-19Bratislava Methods Workshop — LLMs and Generative AI: Applications in Political Science, Public Policy, and Law
- 2025-04-247th Annual COMPTEXT Conference
- 2025-02-27GenAI Training
- 2025-02-14Prague Methods Workshop — LLMs and Generative AI: Advancing Policy Frame and Media Narrative Analysis
- 2024-11-212nd Budapest Methods Workshop — LLMs and Generative AI: Social Science Applications and Legal Aspects
- 2024-11-14Workshops for Ukraine
- 2024-05-02Annual COMPTEXT Conference — Amsterdam
- 2023-11-231st Budapest Methods Workshop — Studying CEE Politics in the Age of AI
- 2023-05-12Annual COMPTEXT Conference — Glasgow
- 2022-06-15Parliamentary Data for Better Democracy — Brussels
- 2022-05-06Annual COMPTEXT Conference — Dublin
- 2020-05-03Annual COMPTEXT Conference — Online
- 2019-09-13Annual COMPTEXT Conference — Tokyo
- 2018-05-09POLTEXT International Workshop — Budapest
Dashboards
Funding
Principal Investigator
poltextLAB
ELTE Centre for Social Sciences — poltextLAB AI Laboratory
4 Tóth Kálmán utca, 1097 Budapest, Hungary
poltextlabpoltextlab.com
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