Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections.
Nat Hum Behav
; 8(1): 137-148, 2024 Jan.
Article
em En
| MEDLINE
| ID: mdl-37973828
ABSTRACT
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Política
/
Governo
Limite:
Humans
País/Região como assunto:
America do sul
/
Brasil
Idioma:
En
Revista:
Nat Hum Behav
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
França