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Mapping the Political Discourse in the Brazilian Chamber of Deputies: A Large-Scale NLP Study

Forum topic · 小凯 · 2026-04-27

Summary

Researchers including Flávio Soriano, Jussara M. Almeida, and Ana Paula Couto da Silva present a computational framework for analyzing parliamentary discourse in the Brazilian Chamber of Deputies, built on more than 450,000 speeches delivered between 2003 and 2025. Moving beyond traditional roll-call voting analysis, the study addresses three complementary questions: how things are said, what is being said, and who speaks in similar ways. The framework combines diachronic stylometric analysis, contextual topic modeling, and semantic clustering of legislator speeches. Key findings include a long-term stylistic shift toward shorter, more direct speeches, sharp redirection of the legislative agenda during national crises, and fine-grained discourse alignment maps in which regional and gender identities often prove more salient than formal party affiliation. The work, posted as arXiv:2604.21897, offers a robust methodology for treating parliamentary discourse as a multidimensional phenomenon complementary to voting-based analyses of legislative behavior.

Paper Overview

Field: NLP Authors: Flávio Soriano, Victoria F. Mello, Pedro B. Rigueira, Gisele L. Pappa, Wagner Meira, Ana Paula Couto da Silva, Jussara M. Almeida arXiv: 2604.21897

Abstract (translated)

Analyses of legislative behavior typically rely on voting records, overlooking the rich semantic and rhetorical content of political speeches. In this paper, the authors pose three complementary questions about parliamentary discourse: how things are said, what is being said, and who speaks in a discourse-similar manner. To answer these questions, they introduce a scalable and generalizable computational framework that combines diachronic stylometric analysis, contextual topic modeling, and semantic clustering of legislator speeches.

The framework is applied in a large-scale case study of the Brazilian Chamber of Deputies, using a corpus of over 450,000 speeches delivered between 2003 and 2025. The results reveal:

  • A long-term stylistic shift toward shorter, more direct speeches.
  • Sharp redirection of the legislative agenda during national crises.
  • Fine-grained discourse alignment maps in which regional and gender identities are often more salient than formal party affiliation.
  • More broadly, the work provides a robust methodology for analyzing parliamentary discourse as a multidimensional phenomenon that complements traditional voting-based approaches.

    Links

  • Paper: https://arxiv.org/abs/2604.21897

Tags

#nlp#computational-social-science#parliamentary-discourse#topic-modeling#stylometry#brazilian-politics#arxiv

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