V-SHIFT
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.
The shifting global allegiances of the Visegrád countries
News
142 V-Shift posts · showing 141–142
- 12 September, 2023
Call for Papers: Studying Central-Eastern European Politics in the Age of AI – A Workshop on Data and MethodsV-Shift · poltextlab_adminWe are happy to announce that we are organizing a workshop on 23-24 November 2023 at the Centre for Social Sciences, in Budapest. The workshop’s aim is to bring together scholars and hold data and method-related presentations with a focus on the legislature an… - 6 September, 2023Ákos Máté’s presentation on CAP Babel Machine at the ECPR General ConferenceV-Shift · poltextlab_adminOn September 6, Ákos Máté presented the paper “Introducing the CAP BABEL MACHINE: A state-of-the-art AI solution for automated coding of policy agendas” at the 2023 General Conference of the European Consortium for Political Research (ECPR) hosted by Charles U…
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
23 outputs — click to expand
- 2026Sebők, M., Kozák, M. & Tőrös, Á.: The Consequences of ‘Eastern Opening’: Hungary’s FDI Shift to China Under OrbánEurope-Asia Studies 78(2), 240–269 · PDF
- 2026Kiss, R. & Sebők, M.: The (worst) laws of the land: the concept of legislative basket casesPolicy Studies 47(5), 1215–1241 · PDF
- 2025Simons, J. P., Sebők, M. & Szabó, I.: Constructing illiberal counterhegemony: Orbán’s transnational projectCritical Political Economy of the European Polycrisis, Edward Elgar, 304–318 · PDF
- 2025Üveges, I. & Ring, O.: Evaluating the Impact of Synthetic Data on Emotion ClassificationInformation 16(4), 330
- 2025Kiss, R. & Sebők, M.: The concept of tailor-made laws and legislative backsliding in Central and Eastern EuropeComparative European Politics 23(3), 353–409 · PDF
- 2025Kiss, R.: A jogalkotói indokolás szabályozásának összehasonlító elemzése az Európai Unió tagállamaibanMTA Law Working Papers 2025/10
- 2025Kiss, R.: De lege ferenda javaslatokKözjogi Szemle
- 2024Sebők, M., Molnár, Cs. & Takács, A.: Levelling up quantitative legislative studies on Central-Eastern Europe: the ParlText CEE DatabaseIntersections. EEJSP 10(4), 106–125 · PDF
- 2024Rybinski, K. & Ring, O.: The legitimation of international organizations in the media in Eurasian post-socialist countriesIntersections. EEJSP 10(3), 90–116
- 2024Sebők, M., Ring, O., Kis, M. Gy., Bánóczy, M. B. & Dinnyés, Á.: The geopolitics of vaccine media representation in Orbán’s HungaryJournal of Computational Social Science 7(3), 2897–2920 · PDF
- 2024Ring, O., Szabó, M. K., Guba, Cs., Váradi, B. & Üveges, I.: Approaches to sentiment analysis of Hungarian political news at the sentence levelLanguage Resources and Evaluation 58(4), 1233–1261
- 2024Cavari, A., Máté, Á. & Sebők, M.: Staying on the democratic script? A deep learning analysis of U.S. presidential speechmakingPolicy 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 MachineSocial Science Computer Review 43(2), 295–317 · PDF
- 2024Sebők, M., Proksch, S.-O., Rauh, C., Visnovitz, P., Balázs, Á. & Schwalbach, J.: Comparative European legislative research in the age of large-scale computational text analysisInternational Political Science Review 46(1), 18–39 · PDF
- 2024Molnár, Cs.: A súlytalanság súlyaGondolat Kiadó
- 2023Sebők, M., Gárdos-Orosz, F., Kiss, R. & Járay, B.: The Transparency of Constitutional Reasoning: A Text Mining AnalysisStudia Iuridica Lublinensia 32(3), 11–44 · PDF
- 2023Sebők, M., Kiss, R. & Kovács, Á.: The Concept and Measurement of Legislative BackslidingParliamentary Affairs 76(4), 741–772 · PDF
- 2023Máté, Á., Sebők, M., Wordliczek, Ł., Stolicki, D. & Feldmann, L.: Machine Translation as an Underrated Ingredient? Solving Classification Tasks with Large Language ModelsComputational Communication Research 5(2) · PDF
- 2023Holányi, Á. & Sebők, M.: Külpolitikai törésvonalak az USA-banKülügyi Szemle 2023(4)
- 2023Horváth, A. & Kiss, R.: A törvények indokolása mint „hozzáadott érték”Jogtudományi Közlöny 2023(10)
Dashboards
- The media corpusWhat the V4 news corpus contains — volume, coverage by country and year, acquisition routes, field completeness and the known gaps.
- Great-power sentiment in parliamentSentiment and salience towards the United States, Russia and China in V4 parliamentary speech, 1993–2021, compared between any two countries and split by government/opposition and left/right.Hosted on shinyapps.io; a cold start can take a few seconds.
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.
Sponsors
Principal Investigator
poltextLAB
Contact
poltextLAB AI Laboratory
poltextlabpoltextlab.com
Hero imagery
Carousel photography, courtesy of:
Source: poltextlab.com/vshift · back to all projects