Exploiting Open Data to analyze discussion and controversy in online citizen participation

In this paper we propose a computational approach that applies data mining techniques to analyze the citizen participation recorded in an online digital platform. Differently to previous work, the approach exploits external knowledge extracted from Open Government Data for processing the citizens’ p...

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Detalles Bibliográficos
Autores: Cantador Gutiérrez, Iván, Cortés-Cediel, María E., Fernández, Miriam
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/703026
Acceso en línea:http://hdl.handle.net/10486/703026
https://dx.doi.org/10.1016/j.ipm.2020.102301
Access Level:acceso abierto
Palabra clave:Citizen participation
Controversy
e-participation
Online discussion
Open Data
Opinion polarization
Informática
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spelling Exploiting Open Data to analyze discussion and controversy in online citizen participationCantador Gutiérrez, IvánCortés-Cediel, María E.Fernández, MiriamCitizen participationControversye-participationOnline discussionOpen DataOpinion polarizationInformáticaIn this paper we propose a computational approach that applies data mining techniques to analyze the citizen participation recorded in an online digital platform. Differently to previous work, the approach exploits external knowledge extracted from Open Government Data for processing the citizens’ proposals and debates of the platform, enabling to characterize targeted issues and problems, and analyze the levels of discussion, support and controversy raised by the proposals. As a result of our analysis, we derive a number of insights and conclusions of interest and value for both citizens and government stakeholders in decision and policy making tasks. Among others, we show that proposals targeting issues that affect large majorities tend to be supported by citizens and ultimately implemented by the city council, but leave aside other very important issues affecting minority groups. Our study reveals that most controversial, likely relevant, problems do not always receive sufficient attention in e-participation. Moreover, it identifies several types of controversy, related to ideological and socioeconomic factors and political attitudesThis work was supported by the Spanish Ministries of Economy, Industry and Competitiveness (TIN2016-80630-P) and Science, Innovation and Universities (CAS18/00035)© 2020 Elsevier LtdDepartamento de Ingeniería InformáticaEscuela Politécnica Superior20202020-09-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/703026https://dx.doi.org/10.1016/j.ipm.2020.102301reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7030262026-06-23T12:46:27Z
dc.title.none.fl_str_mv Exploiting Open Data to analyze discussion and controversy in online citizen participation
title Exploiting Open Data to analyze discussion and controversy in online citizen participation
spellingShingle Exploiting Open Data to analyze discussion and controversy in online citizen participation
Cantador Gutiérrez, Iván
Citizen participation
Controversy
e-participation
Online discussion
Open Data
Opinion polarization
Informática
title_short Exploiting Open Data to analyze discussion and controversy in online citizen participation
title_full Exploiting Open Data to analyze discussion and controversy in online citizen participation
title_fullStr Exploiting Open Data to analyze discussion and controversy in online citizen participation
title_full_unstemmed Exploiting Open Data to analyze discussion and controversy in online citizen participation
title_sort Exploiting Open Data to analyze discussion and controversy in online citizen participation
dc.creator.none.fl_str_mv Cantador Gutiérrez, Iván
Cortés-Cediel, María E.
Fernández, Miriam
author Cantador Gutiérrez, Iván
author_facet Cantador Gutiérrez, Iván
Cortés-Cediel, María E.
Fernández, Miriam
author_role author
author2 Cortés-Cediel, María E.
Fernández, Miriam
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Informática
Escuela Politécnica Superior
dc.subject.none.fl_str_mv Citizen participation
Controversy
e-participation
Online discussion
Open Data
Opinion polarization
Informática
topic Citizen participation
Controversy
e-participation
Online discussion
Open Data
Opinion polarization
Informática
description In this paper we propose a computational approach that applies data mining techniques to analyze the citizen participation recorded in an online digital platform. Differently to previous work, the approach exploits external knowledge extracted from Open Government Data for processing the citizens’ proposals and debates of the platform, enabling to characterize targeted issues and problems, and analyze the levels of discussion, support and controversy raised by the proposals. As a result of our analysis, we derive a number of insights and conclusions of interest and value for both citizens and government stakeholders in decision and policy making tasks. Among others, we show that proposals targeting issues that affect large majorities tend to be supported by citizens and ultimately implemented by the city council, but leave aside other very important issues affecting minority groups. Our study reveals that most controversial, likely relevant, problems do not always receive sufficient attention in e-participation. Moreover, it identifies several types of controversy, related to ideological and socioeconomic factors and political attitudes
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-09-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/703026
https://dx.doi.org/10.1016/j.ipm.2020.102301
url http://hdl.handle.net/10486/703026
https://dx.doi.org/10.1016/j.ipm.2020.102301
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv © 2020 Elsevier Ltd
publisher.none.fl_str_mv © 2020 Elsevier Ltd
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
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repository.mail.fl_str_mv
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