Lula as a polarizing element

Topological Data Analysis (TDA) for the comprehension of affective polarization in Twitter

Authors

  • Isabela Rocha Universidade de Brasília (UnB)

DOI:

https://doi.org/10.14244/agenda.2024.2.4

Keywords:

Affective polarization, Elections, Topological Data Analysis, Twitter, Gatekeepers

Abstract

The article investigates the centrality of Luiz Inácio Lula da Silva as a polarizing figure on Twitter during the 2022 elections, seeking to answer the question: what structural and content-based characteristics identify Lula as a polarizing element in the public debate of that period? Based on a corpus of 18,000 tweets, a Bipolar Constellation (Rocha, 2024) was identified: two dense poles of interaction, pro- and anti-Lula, separated by gaps in communication. The results suggest that polarization, rather than being limited to ideological divergences, takes on an affective and moralizing character, sustained by symbolic mobilization around Lula. In this scenario, gatekeepers — both digital influencers and media outlets — play a central role in the consolidation of echo chambers and in the intensification of public scandalization. The analysis also shows that bolsonarismo is not restricted to antipetismo but constitutes an ideological movement in its own right. Thus, the interaction between petismo and bolsonarismo produces a dynamic of symmetric personalisms that structures contemporary polarization in Brazil.

Author Biography

Isabela Rocha , Universidade de Brasília (UnB)

Doutoranda e Mestre em Ciência Política pelo Instituto de Ciência Política da Universidade de Brasília (IPOL- UnB). Atualmente coordena o Grupo de Trabalho Estratégia, Dados e Soberania do Grupo de Estudos e Pesquisas em Segurança Internacional do Instituto de Relações Internacionais da Universidade de Brasília (GEPSI IREL UnB) e preside o Fórum para Tecnologia Estratégica dos BRICS+, visando o desenvolvimento de infraestrutura tecnológica íntegra e soberana no Brasil, no Sul Global, nos países BRICS+, e no mundo.

References

BARBERÁ, P. Social Media, Echo Chambers, and Political Polarization. In: Social Media and Democracy: The State of the Field and Prospects for Reform. Cambridge University Press, 2020.

BOYD, D, GOLDER, S, LOTAN, G. Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. 43RD Hawaii International Conference on System Sciences (HICSS-43) Institute of Electrical and Eletronics Engineers, 2010.

CARLSSON, G. Persistent Homology and Applied Homotop. Theory, [v1] wed, 1 apr 2020. Disponível em: https://arxiv.org/abs/2004.00738.

FIORINA, M. P, ABRAMS, S. J. Political Polarization in the American Public. Annual Review of Political Science, v. 11, p. 563-588, 2008.

GRANOVETTER, M. The Strength of Weak Ties. American Journal of Sociology, vol. 78, n. 6, 1973.

GARIMELLA, K, MORALES, G. D. F, GIONIS, A, MATHIOUDAKIS, M. Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship. WWW '18: Proceedings of the 2018 World Wide Web Conference, 2018.

KIM, L. The Echo chamber-driven Polarization on Social Media. Journal of Student Research, vol. 12, n. 4, 2023.

LE, M. Q, TAYLOR, D. Persistent Homology with k-nearest-neighbor Filtrations reveals Topological Convergence of PageRank. AIMS Journal, 2022.

ORTELLADO, P, RIBEIRO, M. M, ZEINE, L. Existe polarização política no Brasil? Análise das evidências em duas séries de pesquisas de opinião. Opinião Pública, Campinas, vol. 28, n. 1, p. 62-91, jan. 2022.

PITKIN, H. The Concept of Representation. Berkeley and Los Angeles: University of California Press, 1967.

RENNÓ, L Bolsonarismo e as eleições de 2022. Estudos Avançados, São Paulo, v. 36, n. 106, p. 147-163, 28 out. 2022.

ROCHA, I. Persistent Homology generalizations for Social Media Network Analysis, ArXiv. 2024.

ROCHA, I. Argos. 2022. Patente: Programa de Computador. Número do registro: BR512022002528-0. Data de registro: 12 set. 2022. Título: Argos. Instituição de registro: INPI – Instituto Nacional da Propriedade Industrial.

SAMUELS, D. J, ZUCCO, C. Partisans, Antipartisans and Nonpartisans: Voting Behavior in Brazil. Cambridge, Reino Unido, Cambridge University Press, 2018.

SILVA, T, STABILE, M. Análise de Redes em Mídias Sociais. In: SILVA, T; STABILE, M. (Org.). Monitoramento e pesquisa em mídias sociais: metodologias, aplicações e inovações. 1ed. São Paulo: Uva Limão, v. 1, p. 20-30, 2016.

SILVEIRA, F. E. Escolha intuitiva: nova modalidade de decisão de voto. Opinião Pública, Campinas, v. II n.2, p. 95-116, dez. 1994.

SUSTEIN, C. R. #Republic: Divided Democracy in the Age of Social Media. Princeton University Press, 2017.

Published

2025-11-27

How to Cite

ROCHA , Isabela. Lula as a polarizing element: Topological Data Analysis (TDA) for the comprehension of affective polarization in Twitter. Revista Agenda Política, [S. l.], v. 12, n. 2, p. 90–117, 2025. DOI: 10.14244/agenda.2024.2.4. Disponível em: https://www.agendapolitica.ufscar.br/index.php/agendapolitica/article/view/1056. Acesso em: 29 nov. 2025.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.