TY - JOUR
T1 - The dynamics of political and affective polarisation
T2 - Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)
AU - Torcal, Mariano
AU - Carty, Emily
AU - Comellas Bonsfills, Josep Maria
AU - Bosch, Oriol J.
AU - Thomson, Zoe
AU - Serani, Danilo
N1 - 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).
PY - 2023/6
Y1 - 2023/6
N2 - 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.
AB - 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.
KW - Dataset
KW - Affective polarisation
KW - Political trust
KW - Voting behaviour
KW - Democracy
UR - https://www.mendeley.com/catalogue/ba8c2411-e63d-3c7d-9e46-58608b95e67b/
UR - https://www.scopus.com/pages/publications/85159319546
U2 - 10.1016/j.dib.2023.109219
DO - 10.1016/j.dib.2023.109219
M3 - Article
C2 - 37383761
SN - 2352-3409
VL - 48
JO - Data in Brief
JF - Data in Brief
M1 - 109219
ER -