Research Interests
Comparative Politics; Legislative Studies; Political Economy; Text Mining
Comparative Politics; Legislative Studies; Political Economy; Text Mining
Sebők, M., Kiss, R. and Kovács, Á. (2023) ‘The Concept and Measurement of Legislative Backsliding’, Parliamentary Affairs, 76(4), pp. 741–772. https://doi.org/10.1093/pa/gsad014.
Sebők, M. et al. (2023) ‘Comparative European legislative research in the age of large-scale computational text analysis: A review article’, International Political Science Review, online, pp. 1–22. https://doi.org/https://doi.org/10.1177/01925121231199904.
Sebők, M. and Simons, J. (2022) ‘How Orbán won? Neoliberal disenchantment and the grand strategy of financial nationalism to reconstruct capitalism and regain autonomy’, Socio-Economic Review, 20(4), pp. 1625–1651. https://doi.org/10.1093/ser/mwab052.
Sebők, M. and Kacsuk, Z. (2021) ‘The Multiclass Classification of Newspaper Articles with Machine Learning: The Hybrid Binary Snowball Approach’, Political Analysis, 29(2), pp. 236–249. https://doi.org/10.1017/pan.2020.27.
Sebők, M., Horváth, A., and M. Balázs, Á. (2019) ‘Electoral reforms, entry barriers and the structure of political markets: A comparative analysis’, European Journal of Political Research, 58, pp. 741-768.https://doi.org/10.1111/1475-6765.12309.
Work package leader: European Narrative Observatory to fight Disinformation post-COVID19 (2024-2026).
Principal Investigator: V-SHIFT: A visegrádi országok változó globális viszonyrendszere háborús időkben -
Egy mesterséges intelligencia által támogatott összehasonlító elemzés. MTA Lendület program (2023-2028).
Co-work package leader: Observatory for Political Texts in European Democracies (OPTED), (2020-2023).
Principal Investigator: A kormányzás és a közpolitikai döntések minősége: Big Data elemzés. NKFIH FK-123907 (2017-2019).