Repositori institucional URV
| Autor/es de la URV: | Guimera Manrique, Roger / Nasarre Aznar, Sergio / Piga, Angelo / Sales Pardo, Marta |
| Autor según el artículo: | Font-Pomarol, Lluc; Piga, Angelo; Nasarre-Aznar, Sergio; Sales-Pardo, Marta; Guimera, Roger |
| Direcció de correo del autor: | marta.sales@urv.cat sergio.nasarre@urv.cat roger.guimera@urv.cat |
| Identificador del autor: | 0000-0002-8140-6525 0000-0001-9086-2533 0000-0002-3597-4310 |
| Año de publicación de la revista: | 2024 |
| Tipo de publicación: | Journal Publications |
| Referencia de l'ítem segons les normes APA: | Font-Pomarol, Lluc; Piga, Angelo; Nasarre-Aznar, Sergio; Sales-Pardo, Marta; Guimera, Roger (2024). Language and the use of law are predictive of judge gender and seniority. Epj Data Science, 13(1), 57-. DOI: 10.1140/epjds/s13688-024-00494-x |
| Referencia al articulo segun fuente origial: | Epj Data Science. 13 (1): 57- |
| Resumen: | There are examples of how unconscious bias can influence actions of people. In the judiciary, however, despite some examples there is no general theory on whether different demographic attributes such as gender, seniority or ethnicity affect case sentencing. We aim to gain insight into this issue by analyzing over 100k decisions of three different areas of law with the goal of understanding whether judge identity or judge attributes such as gender and seniority can be inferred from decision documents. We find that stylistic features of decisions are predictive of judge identities, their gender and their seniority, a finding that is aligned with results from analysis of written texts outside the judiciary. Surprisingly, we find that features based on legislation cited are also predictive of judge identities and attributes. While own content reuse by judges can explain our ability to predict judge identities, no specific reduced set of features can explain the differences we find in the legislation cited of decisions when we group judges by gender or seniority. Our findings open the door for further research on how these differences translate into how judges apply the law and, ultimately, to promote a more transparent and fair judiciary system. |
| DOI del artículo: | 10.1140/epjds/s13688-024-00494-x |
| Enlace a la fuente original: | https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-024-00494-x |
| Versión del articulo depositado: | info:eu-repo/semantics/publishedVersion |
| Acceso a la licencia de uso: | https://creativecommons.org/licenses/by/3.0/es/ |
| Departamento: | Enginyeria Química |
| URL Documento de licencia: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Áreas temáticas: | Ciência da computação Ciencias sociales Computational mathematics Computer science applications Engenharias i Engenharias iv Mathematics, interdisciplinary applications Modeling and simulation Social sciences, mathematical methods |
| Palabras clave: | Gender differences Judicial decision Judicial decisions Topic model |
| Entidad: | Universitat Rovira i Virgili |
| Fecha de alta del registro: | 2024-10-19 |
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| Archivo | Descripción | Formato | |
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| DocumentPrincipal | DocumentPrincipal | application/pdf |
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