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

被引：1
|
作者：
Navarrete C. [1 ]
Macedo M. [1 ]
Colley R. [2 ]
Zhang J. [1 ]
Ferrada N. [1 ]
Mello M.E. [3 ]
Lira R. [4 ]
Bastos-Filho C. [4 ]
Grandi U. [2 ]
Lang J. [5 ]
Hidalgo C.A. [1 ,6 ,7 ]
机构：
[1] Center for Collective Learning, ANITI, TSE, IAST, IRIT, Université de Toulouse, Toulouse
[2] IRIT, Université Toulouse Capitole, Toulouse
[3] Sociology Department, Federal University of Pernambuco, Pernambuco, Recife
[4] Computer Engineering Department, University of Pernambuco, Pernambuco, Recife
[5] LAMSADE, CNRS, Université Paris-Dauphine, PSL, Paris
[6] Alliance Manchester Business School, University of Manchester, Manchester
[7] Center for Collective Learning, CIAS, Corvinus University, Budapest
来源：
Nature Human Behaviour | 2024年 / 8卷 / 1期
基金：
欧洲研究理事会;
关键词：
D O I：
10.1038/s41562-023-01755-x
中图分类号：
学科分类号：
摘要：
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. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.
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页码：137 / 148
页数：11
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