Autor segons l'article: Font-Pomarol, Lluc; Piga, Angelo; Garcia-Teruel, Rosa Maria; Nasarre-Aznar, Sergio; Sales-Pardo, Marta; Guimera, Roger
Departament: Enginyeria Química Dret Privat, Processal i Financer
Autor/s de la URV: Font Pomarol, Lluc / Garcia Teruel, Rosa Maria / Guimera Manrique, Roger / Nasarre Aznar, Sergio / Piga, Angelo / Sales Pardo, Marta
Paraules clau: Topic model Judicial decisions Information theory topic model information theory
Resum: 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.
Àrees temàtiques: Social sciences, mathematical methods Modeling and simulation Mathematics, interdisciplinary applications Engenharias iv Engenharias i Computer science applications Computational mathematics Ciencias sociales Ciência da computação
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: roger.guimera@urv.cat lluc.fonti@estudiants.urv.cat lluc.fonti@estudiants.urv.cat sergio.nasarre@urv.cat marta.sales@urv.cat
Identificador de l'autor: 0000-0002-3597-4310 0000-0001-9086-2533 0000-0002-8140-6525
Data d'alta del registre: 2024-08-03
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Epj Data Science. 12 (1): 2-
Referència de l'ítem segons les normes 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
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2023
Tipus de publicació: Journal Publications
Repositori URV