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Endorsement Networks in the 2022 Brazilian Presidential Elections: a Case Study on Twitter Data

  • Alejandro Dinkelberg
  • , Brenda Salenave Santana
  • , Ana L.C. Bazzan
  • Universidad Carlos III de Madrid
  • Universidade Federal de Pelotas
  • Universidade Federal do Rio Grande do Sul

Research output: Contribution to journalArticlepeer-review

Abstract

Online social networks take an increasingly substantive role in modern elections. For example, Twitter (renamed X) provides an online platform to present, discuss and confirm/endorse each other’s opinions. In regard of the 2022 Brazilian Presidential elections, we examine the endorsement networks from supporters of potential presidential candidates to reveal characteristic structural properties of those networks. Their construction has involved a data set with over 20 million tweets; their analysis depicts the development of the online supporters within three months of the 2022 presidential election. Within the networks we look into the roles of the most essential supporters and the presence of social bots. In order to uncover changes between election years, we compare our results to the previous election in 2018. This descriptive network analysis provides an overview of the political engagement of Twitter users during the Brazilian Presidential elections.

Original languageEnglish
Pages (from-to)219-228
Number of pages10
JournalJournal of the Brazilian Computer Society
Volume31
Issue number1
DOIs
Publication statusPublished - 17 Jan 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • 2022 Brazilian Elections
  • Endorsement networks
  • Network analysis
  • Social bots
  • Twitter data

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