Author, as appears in the article.: Font-Pomarol, Lluc; Piga, Angelo; Garcia-Teruel, Rosa Maria; Nasarre-Aznar, Sergio; Sales-Pardo, Marta; Guimera, Roger
Department: Enginyeria Química Dret Privat, Processal i Financer
URV's Author/s: Font Pomarol, Lluc / Garcia Teruel, Rosa Maria / Guimera Manrique, Roger / Nasarre Aznar, Sergio / Piga, Angelo / Sales Pardo, Marta
Keywords: Topic model Judicial decisions Information theory topic model information theory
Abstract: Laws and legal decision-making regulate how societies function. Therefore, they evolve and adapt to new social paradigms and reflect changes in culture and social norms, and are a good proxy for the evolution of socially sensitive issues. Here, we use an information-theoretic methodology to quantitatively track trends and shifts in the evolution of large corpora of judicial decisions, and thus to detect periods in which disruptive topics arise. When applied to a large database containing the full text of over 100,000 judicial decisions from Spanish courts, we are able to identify an abrupt change in housing-related decisions around 2016. Because our information-theoretic approach pinpoints the specific content that drives change, we are also able to interpret the results in terms of the role played by legislative changes, landmark decisions, and the influence of social movements.
Thematic Areas: Social sciences, mathematical methods Modeling and simulation Mathematics, interdisciplinary applications Engenharias iv Engenharias i Computer science applications Computational mathematics Ciencias sociales Ciência da computação
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: roger.guimera@urv.cat lluc.fonti@estudiants.urv.cat lluc.fonti@estudiants.urv.cat sergio.nasarre@urv.cat marta.sales@urv.cat
Author identifier: 0000-0002-3597-4310 0000-0001-9086-2533 0000-0002-8140-6525
Record's date: 2024-08-03
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00376-0
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Epj Data Science. 12 (1): 2-
APA: Font-Pomarol, Lluc; Piga, Angelo; Garcia-Teruel, Rosa Maria; Nasarre-Aznar, Sergio; Sales-Pardo, Marta; Guimera, Roger (2023). Socially disruptive periods and topics from information-theoretical analysis of judicial decisions. Epj Data Science, 12(1), 2-. DOI: 10.1140/epjds/s13688-022-00376-0
Article's DOI: 10.1140/epjds/s13688-022-00376-0
Entity: Universitat Rovira i Virgili
Journal publication year: 2023
Publication Type: Journal Publications
Repositori URV