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Which Types of Brazilian Telegram Groups are More Susceptible to being Politicized?

  • Samuel Guimarães
  • , Filipe Ribeiro
  • , Oana Goga
  • , Fabricio Benevenuto
  • Universidade Federal de Minas Gerais
  • Universidade Federal de Ouro Preto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Online social networks (OSNs) serve as environments for various forms of social interaction, ranging from influencers interacting with their fans to more peer-to-peer forms of community debate. Instant messaging platforms are an example of spaces used for more horizontal peer-to-peer conversations. During election cycles, these digital spaces often become exposed to political manipulation and propaganda based on social ties. Regardless of their original purpose, politics can co-opt the group discourse in a process of politicization. Although studies explored the politicization of non-political topics such as vaccines and political coordination in OSNs, the politicization of non-political spaces themselves remains overlooked. This study investigates the politicization of non-political public Telegram groups in the context of the 2022 Brazilian elections. Using a curated set of Brazilian Telegram groups, we extract the data via the Telethon API and apply a BERT model to detect political messages. Our findings indicate a 60% increase in political content, primarily occurring in groups with themes indirectly related to politics (e.g., News) or in groups with more general-purpose themes that foster open-ended discussions (e.g., Leisure). This political content is concentrated in a few users, generating more engagement and further political debate.

Original languageEnglish
Title of host publicationWebSci 2026 - Proceedings of the 18th ACM Web Science Conference
PublisherAssociation for Computing Machinery, Inc
Pages154-164
Number of pages11
ISBN (Electronic)9798400725043
DOIs
Publication statusPublished - 25 May 2026
Event18th ACM Web Science Conference, WebSci 2026 - Braunschweig, Germany
Duration: 26 May 2026 → 29 May 2026

Publication series

NameWebSci 2026 - Proceedings of the 18th ACM Web Science Conference

Conference

Conference18th ACM Web Science Conference, WebSci 2026
Country/TerritoryGermany
CityBraunschweig
Period26/05/26 → 29/05/26

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Political Groups
  • Politicization
  • Public Groups
  • Telegram

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