Polarização em mídias sociais: medindo segregação de comunidades políticas

In social media studies, polarization has been generally understood as the segregation of the public into two homogeneous informational circuits. There is little debate, however, about how to measure this segregation in order to analyze its evolution over time. In this work, we review the two most influential measurement proposals in literature and argue why one of them is more appropriate. We show, with Facebook data, how Brazilian polarization was formed in 2014 in a process that is, simultaneously, of seclusion and fusion of political communities. Then, with data from Twitter, we show how the segregation of the digital public sphere was consolidated in 2018 and has remained polarized over time, with small statistical fluctuations.

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Publication Details

Journal
Matrizes
Published
2025-05-22
DOI
https://doi.org/10.11606/issn.1982-8160.v19i1p281-295
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

Polarização em mídias sociais: medindo segregação de comunidades políticas

Pablo Ortellado, Márcio Moretto Ribeiro
1 links
Matrizes
Social Media and Politics
article

Polarização em mídias sociais: medindo segregação de comunidades políticas

Pablo Ortellado, Márcio Moretto Ribeiro
article en

Abstract

In social media studies, polarization has been generally understood as the segregation of the public into two homogeneous informational circuits. There is little debate, however, about how to measure this segregation in order to analyze its evolution over time. In this work, we review the two most influential measurement proposals in literature and argue why one of them is more appropriate. We show, with Facebook data, how Brazilian polarization was formed in 2014 in a process that is, simultaneously, of seclusion and fusion of political communities. Then, with data from Twitter, we show how the segregation of the digital public sphere was consolidated in 2018 and has remained polarized over time, with small statistical fluctuations.

Matrizes
Universidade de São Paulo (BR), Centro Universitário Belas Artes de São Paulo (BR)
Openalex Percentile: Top 87%
Social Media and Politics
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