Author, as appears in the article.: Font-Pomarol L; Piga A; Garcia-Teruel RM; Nasarre-Aznar S; Sales-Pardo M; Guimerà R

Department: Enginyeria Química Dret Privat, Processal i Financer

URV's Author/s: 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: angelo.piga@urv.cat roger.guimera@urv.cat marta.sales@urv.cat sergio.nasarre@urv.cat

Author identifier: 0000-0002-7409-2978 0000-0002-3597-4310 0000-0002-8140-6525 0000-0001-9086-2533

Record's date: 2023-03-11

Papper version: info:eu-repo/semantics/publishedVersion

Link to the original source: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00376-0

Papper original source: Epj Data Science. 12 (1):

APA: Font-Pomarol L; Piga A; Garcia-Teruel RM; Nasarre-Aznar S; Sales-Pardo M; Guimerà R (2023). Socially disruptive periods and topics from information-theoretical analysis of judicial decisions. Epj Data Science, 12(1), -. DOI: 10.1140/epjds/s13688-022-00376-0

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Article's DOI: 10.1140/epjds/s13688-022-00376-0

Entity: Universitat Rovira i Virgili

Journal publication year: 2023

Publication Type: Journal Publications