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
98 V-Shift posts · showing 66–70
- 16 October, 2024
Miklós Sebők presents the ongoing research in MILAB at the TINLAB Social Innovation Management ForumV-Shift · poltextlab_adminOn October 16th, Miklós Sebők attended the TINLAB Social Innovation Management Forum. He presented the management, current research, and ongoing partnerships at the MILAB Artificial Intelligence National Laboratory. - 15 October, 2024
poltextLAB Co-Hosted Beyond Compliance 2024 Forum on Digital Ethics in ResearchV-Shift · poltextlab_admin - 15 October, 2024
Miklós Sebők among NRDI Science Patronage programme winnersV-Shift · poltextlab_admin
- 1 October, 2024
Miklós Sebők on the role of language data in AI development at the Language Data Space Country WorkshopV-Shift · poltextlab_adminThe European Language Data Space and the HUN REN Hungarian Research Centre for Linguistics convened a distinguished gathering on 1 October 2024, in Budapest, bringing together experts from Hungarian industry, public administration, and academia to discuss the … - 27 September, 2024
New publication by Miklós Sebők, Orsolya Ring, Márk György Kis, Martin Balázs Bánóczy and Ágnes Dinnyés in the Journal of Computational Social ScienceV-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
9 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
Publications
14 outputs — click to expand
- 2026Borbáth, E., Sebők, M. & Szabó, A.: Changing the terms of conflict: electoral revolution in the 2026 Hungarian parliamentary electionWest European Politics (forthcoming)
- 2026Sebők, M., Kozák, S. & Tőrös, Á.: The Consequences of ‘Eastern Opening’: Hungary’s FDI Shift to China Under OrbánEurope-Asia Studies 78(2), 240–269 · PDF
- 2025Simons, J. P., Sebők, M. & Szabó, I.: Constructing illiberal counterhegemony: Orbán’s transnational project as consequence and cause of Europe’s polycrisisCritical Political Economy of the European Polycrisis, Edward Elgar, 304–318 · PDF
- 2024Sebők, M., Ring, O., Kis, Gy. M., Bánóczy, M. B. & Dinnyés, Á.: The geopolitics of vaccine media representation in Orbán’s Hungary – an AI-supported sentiment analysisJournal of Computational Social Science 7(3), 2897–2920 · PDF
- 2024Cavari, A., Máté, Á. & Sebők, M.: Staying on the democratic script? A deep learning analysis of the speechmaking of U.S. presidentsPolicy Studies Journal 52(4), 709–729 · PDF
- 2024Sebők, M., Máté, Á., Ring, O., Kovács, V. & Lehoczki, R.: Leveraging Open Large Language Models for Multilingual Policy Topic Classification: The Babel Machine ApproachSocial Science Computer Review 43(2), 295–317 · PDF
- 2024Sebők, M., Proksch, S.-O., Rauh, C., Visnovitz, P., Balázs, G. & Schwalbach, J.: Comparative European legislative research in the age of large-scale computational text analysis: A review articleInternational Political Science Review 46(1), 18–39 · PDF
- 2023Máté, Á., Sebők, M., Wordliczek, Ł., Stolicki, D. & Feldmann, Á.: Machine Translation as an Underrated Ingredient? Solving Classification Tasks with Large Language Models for Comparative ResearchComputational Communication Research 5(2), 1–34 · PDF
- 2023Holányi, Á. & Sebők, M.: Külpolitikai törésvonalak az Amerikai Egyesült Államokban az orosz–ukrán háború kapcsánKülügyi Szemle 22(4), 122–147
Dashboards
Funding
This research was supported by the Hungarian Academy of Sciences under the Lendület (Momentum) Programme, grant no. LP2023-16/2023 (V-SHIFT research group), 2023–2028.
Principal Investigator
poltextLAB
poltextLAB AI Laboratory
poltextlabpoltextlab.com
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