PoLITICAL ECONOMy
Miklós Sebők
Dr. Miklós Sebők is a Senior Research Fellow of the Institute of Political Science, HUN-REN Centre of Social Sciences and director of the poltextLAB artificial intelligence laboratory in Budapest. His research interests include political economy and public policy. His work has appeared in, inter alia, Business and Politics, East European Politics, Europe-Asia Studies, European Journal of Political Research, European Political Science Review, Journal of Public Policy and Socio-Economic Review. His book chapters have been published by Oxford and Palgrave, and he is the co-editor of the edited volume Policy Agendas in Autocracy and Hybrid Regimes: The Case of Hungary (Palgrave, 2021). He currently leads the MOMENTUM research grant of the Hungarian Academy of Sciences for the study of the integration of Central-Eastern Europe with the West and the East.

Selected Publications
2024 Leveraging Open Large Language Models for Multilingual Policy Topic Classification: The Babel Machine Approach (Co-authors: Máté Ákos, Orsolya Ring, Viktor Kovács, Richárd Lehoczki) Social Science Computer Review, 43(2): 295-317. https://doi.org/10.1177/08944393241259434. Repository link.
2024 Staying on the Democratic Script? A Deep Learning Analysis of the Speechmaking of U.S. Presidents (Co-authors: Amnon Cavari, Ákos Máté), Policy Studies Journal. 52(4): 709–729. https://doi.org/10.1111/psj.12534. Repository link.
2023 Comparative European legislative research in the age of large-scale computational text analysis: A review article (Co-authors: Sven-Oliver Proksch, Christian Rauh, Péter Visnovitz, Gergő Balázs, Jan Schwalbach), International Political Science Review, 46(1), 18-39. https://doi.org/10.1177/01925121231199904.
2023 The Transparency of Constitutional Reasoning: A Text Mining Analysis of the Hungarian Constitutional Court’s Jurisprudence (Co-authors: Fruzsina Gárdos-Orosz, Rebeka Kiss, István Járay), Studia Iuridica Lublinensia 32 (3): 11-44. doi:10.17951/sil.2023.32.3.11-44. Repository link.
2023 Machine Translation as an Underrated Ingredient? Solving Classification Tasks with Large Language Models for Comparative Research (Co-authors: Ákos Máté, Lukasz Wordliczek, Dariusz Stolicki, Ádám Feldmann), Computational Communication Research 5 (2): 1-34. doi:10.5117/CCR2023.2.6.MATE. Repository link.
2023 Introducing HUNCOURT: A New Open Legal Database Covering the Decisions of the Hungarian Constitutional Court for Between 1990 and 2021 (Co-authors: Rebeka Kiss, István Járay), Journal of the Knowledge Economy, https://doi.org/10.1007/s13132-023-01395-6. Repository link.
2022 How Orbán won? Neoliberal disenchantment and the grand strategy of financial nationalism to reconstruct capitalism and regain autonomy. Socio-Economic Review, https://doi.org/10.1093/ser/mwab052.
2022 Measuring legislative stability – A new approach with data from Hungary, (Co-authors: Bálint György Kubik, Csaba Molnár, István Járay, Anna Székely), European Political Science 21: 491–521. doi:10.1057/s41304-022-00376-8. Repository link.
2022 Punctuated Equilibrium and Progressive Friction in Socialist Autocracy, Democracy and Hybrid Regimes (Co-authors: Ágnes M. Balázs, Csaba Molnár), Journal of Public Policy 42 (2): 247–69. doi:10.1017/S0143814X21000143. Repository link.
2021 The (real) need for a human touch: testing a human-machine hybrid topic classification workflow on a New York Times corpus, Quality & Quantity 56, 3621-3643. doi: 10.1007/s11135-021-01287-4. Repository link.
2021 The effect of central bank communication on sovereign bond yields: The case of Hungary (Co-authors: Ákos Máté and Tamás Barczikay), Plos One 16 (2). doi:10.1371/journal.pone.0245515. Repository link.
2020 The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach (Co-author: Zoltán Kacsuk), Political Analysis 29 (2): 236–49. doi:10.1017/pan.2020.27. Repository link.