Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections

Digital technologies can augment civic participation by facilitating the expression of detailed political preferences. Yet, digital participation efforts often rely on methods optimized for elections involving a few candidates. Here we present data collected in an online experiment where participant...

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Veröffentlicht in:Nature human behaviour 2024, Vol.8 (1), p.137-148
Hauptverfasser: Navarrete, Carlos, Macedo, Mariana, Colley, Rachael, Zhang, Jingling, Ferrada, Nicole, Mello, Maria Eduarda, Lira, Rodrigo, Bastos-Filho, Carmelo, Grandi, Umberto, Lang, Jérôme, Hidalgo, César A.
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container_issue 1
container_start_page 137
container_title Nature human behaviour
container_volume 8
creator Navarrete, Carlos
Macedo, Mariana
Colley, Rachael
Zhang, Jingling
Ferrada, Nicole
Mello, Maria Eduarda
Lira, Rodrigo
Bastos-Filho, Carmelo
Grandi, Umberto
Lang, Jérôme
Hidalgo, César A.
description Digital technologies can augment civic participation by facilitating the expression of detailed political preferences. Yet, digital participation efforts often rely on methods optimized for elections involving a few candidates. Here we present data collected in an online experiment where participants built personalized government programmes by combining policies proposed by the candidates of the 2022 French and Brazilian presidential elections. We use this data to explore aggregates complementing those used in social choice theory, finding that a metric of divisiveness, which is uncorrelated with traditional aggregation functions, can identify polarizing proposals. These metrics provide a score for the divisiveness of each proposal that can be estimated in the absence of data on the demographic characteristics of participants and that explains the issues that divide a population. These findings suggest that divisiveness metrics can be useful complements to traditional aggregation functions in direct forms of digital participation. A metric of political divisiveness helps identify polarizing proposals in the 2022 French and Brazilian presidential elections.
doi_str_mv 10.1038/s41562-023-01755-x
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subjects 4014/2801
4014/4012
Behavioral Sciences
Biomedical and Life Sciences
Candidates
Computer Science
Demography
Experimental Psychology
Life Sciences
Microeconomics
Neurosciences
Participation
Personality and Social Psychology
Presidential elections
Social choice
title Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections
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