Corporate social responsibility in the IBEX 35: a corpus-based study of CSR reports

Inicio | ¿Qué es? | Contacto

English | Català

Consultar RECERCAT

Por comunidades y
colecciones Por fecha Por autores Por títulos Por temas (CDU)

Consultar departamento

Por fecha Por autores Por títulos Por temas (CDU)

Estadisticas

Del documento Todo RECERCAT

Mi RECERCAT

Entrar Alertas por correo-e

Directorio de otros repositorios

RECERCAT Principal > Universitat Pompeu Fabra > Articles, congressos, llibres > Visualizar documento

Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/10230/26275

dc.contributor.author	Pérez Almendros, Carla
dc.contributor.author	Espinosa-Anke, Luis
dc.contributor.author	Torres Valdés, Rosa
dc.date	2013
dc.identifier.citation	Pérez Almendros C, Espinosa-Anke L, Torres Valdés R. Corporate social responsibility in the IBEX 35: a corpus-based study of CSR reports. Procedia Soc Behav Sci; 2013;95:612-20. doi:10.1016/j.sbspro.2013.10.689
dc.identifier.citation	1877-0428
dc.identifier.citation	http://dx.doi.org/10.1016/j.sbspro.2013.10.689
dc.identifier.uri	http://hdl.handle.net/10230/26275
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Elsevier
dc.relation	Procedia - Social and Behavioral Sciences; 2013;95:612-20.
dc.rights	© 2013 The Authors. Published by Elsevier Ltd. Open access under CC BY-NC-ND license.
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	corpus linguistics
dc.subject	corporate responsibility reports
dc.subject	Collocations
dc.subject	Text complexity
dc.subject	Corporate social responsibility
dc.subject	Public relations
dc.subject	IBEX 35
dc.title	Corporate social responsibility in the IBEX 35: a corpus-based study of CSR reports
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	We present a corpus-based study of the Corporate Social Responsibility Reports issued by companies who operate in the Spanish Stock Market IBEX 35. Natural Language Processing methods are used for extracting informative collocations and measuring the textual complexity of these texts. Based on our results, we claim that (1) these reports are in general simpler and more redundant than general language, (2) there is a tendency towards the increasing use of the term sustainability to describe SR actions, and (3) integrated reports seem to be written for shareholders rather than the general public.

Mostrar el registro sencillo del ítem

Documentos relacionados

Otros documentos del mismo autor/a

Extracting relations from unstructured text sources for music recommendation

Sordo, Mohamed; Oramas, Sergio; Espinosa-Anke, Luis

Classifying different definitional styles for different users

Espinosa-Anke, Luis

Descripción y evaluación de un sistema de extracción de definiciones para el catalán

Saggion, Horacio; Espinosa-Anke, Luis

Information extraction for knowledge base construction in the music domain

Oramas, Sergio; Espinosa-Anke, Luis; Sordo, Mohamed; Saggion, Horacio; Serra, Xavier

Savana: a global information extraction and terminology expansion framework in the medical domain

Espinosa-Anke, Luis; Tello, Jorge; Pardo, Alberto; Medrano, Ignacio; Ureña, Alberto; Salcedo, Ignacio; Saggion, Horacio

Accesibilidad | Aviso legal | Política de Cookies | Documentos de uso interno

Coordinación

Patrocinio