Mapping the Use of Chatbots in Brazil by States, Capital Cities, and the Federal District

Authors

  • Sivaldo Pereira da Silva Universidade de Brasília, Brasília, Distrito Federal, Brasil https://orcid.org/0000-0001-8767-7679
  • Felipe Soares de Moraes Universidade de Brasília, Brasília, Distrito Federal, Brasil https://orcid.org/0000-0002-6585-9073
  • Gabriella da Costa Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brasil
  • Naiara Marques de Albuquerque Universidade de Brasília, Brasília, Distrito Federal, Brasil
  • Amanda Xavier da Silva Universidade de Brasília, Brasília, Distrito Federal, Brasil https://orcid.org/0009-0006-8108-7110

DOI:

https://doi.org/10.30962/e-comps.3245

Keywords:

Government Communication, Conversational Agents, Chatbots, Artificial Intelligence, Digital Democracy

Abstract

This article aims to understand how automated conversational agents (chatbots) are being made available by the Executive Branch in Brazil, assessing their basic level of informational accuracy. A total of 212 departments from 53 governments – including state administrations, the Federal District, and Brazilian capitals – were examined, mapping 26 agencies with chatbots. Data were collected through targeted documentary research, conversational tests, and consultations with managers. Only 24% of the conversational tests produced adequate responses. Lack of resources, technological expertise, and data organization are among the main challenges reported by managers.

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Author Biographies

Sivaldo Pereira da Silva, Universidade de Brasília, Brasília, Distrito Federal, Brasil

Doutor pelo Programa de Pós-Graduação em Comunicação e Cultura Contemporâneas da Universidade Federal da Bahia (Póscom-UFBA), com estágio doutoral na University of Washington, Estados Unidos. Professor da Faculdade de Comunicação (FAC) e do Programa de Pós-Graduação em Comunicação da Universidade de Brasília (PPGCOM-UnB). Atualmente, é coordenador do grupo de pesquisa Centro de Estudos em Comunicação, Tecnologia e Política (CTPol/UnB) e pesquisador do Instituto Nacional de Ciência e Tecnologia em Democracia Digital (INCT.DD).

Felipe Soares de Moraes, Universidade de Brasília, Brasília, Distrito Federal, Brasil

Master’s student in Communication at the University of Brasília (UnB). Holds a bachelor's degree in Journalism and Humanities from the Federal University of Southern Bahia (UFSB). Researcher at the Center for Studies in Communication, Technology and Politics (CTPol/UnB).

Gabriella da Costa, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brasil

PhD candidate in Communication at Fluminense Federal University (UFF). Master’s degree in Communication from the Federal University of Bahia (UFBA). Researcher at the Institute of Science and Technology in Digital Democracy (INCT.DD) and at the Center for Studies in Communication, Technology and Politics (CTPol) at the University of Brasília (UnB).

Naiara Marques de Albuquerque, Universidade de Brasília, Brasília, Distrito Federal, Brasil

Master’s degree in Institutional and Political Communication from the University of Seville, and a bachelor’s degree in Social Communication (Journalism) from the University of Brasília (UnB). Communication professional in the field of social impact. Researcher affiliated with the Center for Studies in Communication, Technology and Politics (CTPol) at the University of Brasília (UnB).

Amanda Xavier da Silva, Universidade de Brasília, Brasília, Distrito Federal, Brasil

MBA in Data Science and Analytics from the University of São Paulo (USP/Esalq). Bachelor’s degree in International Relations and Political Science from the University Center of the Federal District (UDF). Government Relations professional. Researcher affiliated with the Center for Studies in Communication, Technology and Politics (CTPol) at the University of Brasília (UnB).

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Published

24-11-2025

How to Cite

Pereira da Silva, S., Soares de Moraes, F., da Costa, G., Marques de Albuquerque, N., & Xavier da Silva, A. (2025). Mapping the Use of Chatbots in Brazil by States, Capital Cities, and the Federal District. E-Compós, 29. https://doi.org/10.30962/e-comps.3245

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Section

Artigos Originais