The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)

The TRI-POL project explores the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition. In this project there are two complementary groups of datasets with individual-level survey data and digital trace data co...

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Detalles Bibliográficos
Autores: Torcal, Mariano, Carty, Emily, Comellas, Josep Maria, Bosch, Oriol J., Thomson, Zoe A., Serani, Danilo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/57004
Acceso en línea:http://hdl.handle.net/10230/57004
http://dx.doi.org/10.1016/j.dib.2023.109219
Access Level:acceso abierto
Palabra clave:Dataset
Affective polarisation
Political trust
Voting behaviour
Democracy
id ES_fecd4bc94a9d38114db96c0977b3cbfd
oai_identifier_str oai:repositori.upf.edu:10230/57004
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
title The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
spellingShingle The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
Torcal, Mariano
Dataset
Affective polarisation
Political trust
Voting behaviour
Democracy
title_short The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
title_full The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
title_fullStr The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
title_full_unstemmed The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
title_sort The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
dc.creator.none.fl_str_mv Torcal, Mariano
Carty, Emily
Comellas, Josep Maria
Bosch, Oriol J.
Thomson, Zoe A.
Serani, Danilo
author Torcal, Mariano
author_facet Torcal, Mariano
Carty, Emily
Comellas, Josep Maria
Bosch, Oriol J.
Thomson, Zoe A.
Serani, Danilo
author_role author
author2 Carty, Emily
Comellas, Josep Maria
Bosch, Oriol J.
Thomson, Zoe A.
Serani, Danilo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Dataset
Affective polarisation
Political trust
Voting behaviour
Democracy
topic Dataset
Affective polarisation
Political trust
Voting behaviour
Democracy
description The TRI-POL project explores the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition. In this project there are two complementary groups of datasets with individual-level survey data and digital trace data collected in five countries: Argentina, Chile, Italy, Portugal and Spain. These datasets are comprised of three waves carried out over a six-month period between late September 2021 and April 2022. In addition, the survey datasets include a series of experiments embedded in the different waves that examine social exposure, polarisation framing, and social sorting. The digital trace datasets include variables on individuals’ behaviours and exposure to information received via digital media and social media. This data was collected using a combination of tracking technologies that the interviewees installed in their different devices. This digital trace data is matched with the individual-level survey data. These datasets are especially useful for researchers who wish to explore dynamics of polarisation, political attitudes, and political communication.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/57004
http://dx.doi.org/10.1016/j.dib.2023.109219
url http://hdl.handle.net/10230/57004
http://dx.doi.org/10.1016/j.dib.2023.109219
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Data in Brief. 2023 Jun;48:109219
info:eu-repo/grantAgreement/ES/2PE/PID2019-106867RB-I00
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling The dynamics of political and affective polarisation: datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)Torcal, MarianoCarty, EmilyComellas, Josep MariaBosch, Oriol J.Thomson, Zoe A.Serani, DaniloDatasetAffective polarisationPolitical trustVoting behaviourDemocracyThe TRI-POL project explores the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition. In this project there are two complementary groups of datasets with individual-level survey data and digital trace data collected in five countries: Argentina, Chile, Italy, Portugal and Spain. These datasets are comprised of three waves carried out over a six-month period between late September 2021 and April 2022. In addition, the survey datasets include a series of experiments embedded in the different waves that examine social exposure, polarisation framing, and social sorting. The digital trace datasets include variables on individuals’ behaviours and exposure to information received via digital media and social media. This data was collected using a combination of tracking technologies that the interviewees installed in their different devices. This digital trace data is matched with the individual-level survey data. These datasets are especially useful for researchers who wish to explore dynamics of polarisation, political attitudes, and political communication.The authors would like to express their gratitude to other members of the original research team that participated in one way or another in the design and implementation of the different waves of the survey: Ryan Carlin, Gregory Love, Noam Lupu, Pedro Magalhaes, Melanie Revilla, and Luana Russo. The authors would also like to thank all respondents who participated in the survey. This research was supported by competitive grant funding from the Spanish Ministry of Science and Innovation, “Proyectos de I+D+i”, Title: "El triángulo de polarización, confianza política y competencia política: Comprendiendo sus dinámicas en las democracias contemporáneas", (Code: PID2019-106867RB-I00 /AEI/10.13039/501100011033 (2020-2024), Principal Investigator: Mariano Torcal). Additional funding provided through Ayudas Fundación BBVA a Equipos de Investigación Cientifica en Economía y Sociedad Digital 2019, Project Title: "El triángulo de polarización, confianza política y comunicación política: comprendiendo sus dinámicas en las democracias contemporáneas" (Principal Investigator: Mariano Torcal). The views expressed herein are those of the authors and are not necessarily those of the Spanish Ministry of Science and Innovation or the Fundación BBVA. The PI of the project is also grateful for the funding provided by the Advanced Research Fellowship Programme ICREA, funded by the Catalonian Government. Other contributors include funding from the Political Science Department at the University of Mississippi (PI: Gregory J. Love), the Georgia State University Provost Faculty Fellowship and Center for Human Rights and Democracy funded project “Polarization, Political Competition, and Interpersonal Trust” (PI: Ryan Carlin), the Centre for Social Conflict and Cohesion Studies and the Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias (Fondap) de la Agencia Nacional de Investigación y Desarrollo del Gobierno de Chile (Proyecto #15130009, PI: Matias Bargsted) and Vanderbilt University (PI: Noam Lupu).Elsevier202320232023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/57004http://dx.doi.org/10.1016/j.dib.2023.109219reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésData in Brief. 2023 Jun;48:109219info:eu-repo/grantAgreement/ES/2PE/PID2019-106867RB-I00© 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/570042026-06-12T07:21:37Z
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