Identificação e Caracterização de Campanhas de Propagandas Eleitorais Antecipadas Brasileiras no Twitter

• Marcelo M. R. Araujo UFMG
• Carlos H. G. Ferreira UFMG / UFOP
• Julio C. S. Reis UFV
• Ana P. C. Silva UFMG
• Jussara M. Almeida UFMG

DOI: https://doi.org/10.5753/brasnam.2023.229879

Abstract

In this work, we investigate the coordinated promotion of early political campaigns by users on Twitter, focusing on the Brazilian 2022 pre-election period. The explored methodology involves modeling a network based on coretweets, extracting a backbone of the network, and finally identifying and analyzing communities focused on user characteristics and shared content. The results show a significant number of communities promoting content related to different pre-election candidates from different political spectrums, including right-wing and left-wing. We also found that right-wing communities are much larger than left-wing communities, both in terms of the number of users and the amount of information shared. We believe that our results can provide interesting inputs for understanding the phenomenon in the Brazilian context and, in the future, assist in the formulation of mechanisms to efficiently detect coordinated actions (i.e., pre-election campaigns) on social media platforms.

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