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Computational framework maps Brazilian political discourse, revealing identity-based alignments.

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a computational framework to analyze political discourse within the Brazilian Chamber of Deputies, moving beyond traditional voting record analysis. This new methodology combines stylometric analysis, topic modeling, and semantic clustering to examine how speeches are delivered, their content, and speaker alignments. The study, which analyzed over 450,000 speeches from 2003 to 2025, revealed shifts in speech style towards brevity, a legislative agenda responsive to national crises, and discursive groupings based on regional and gender identities rather than solely party affiliation. AI

IMPACT Provides a novel computational methodology for analyzing large-scale text data, applicable to political science and beyond.

RANK_REASON Academic paper detailing a new computational methodology for analyzing parliamentary discourse.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Computational framework maps Brazilian political discourse, revealing identity-based alignments.

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Academic paper detailing a new computational methodology for analyzing parliamentary discourse.
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jussara M. Almeida ·

    Mapping the Political Discourse in the Brazilian Chamber of Deputies: A Multi-Faceted Computational Approach

    Analyses of legislative behavior often rely on voting records, overlooking the rich semantic and rhetorical content of political speech. In this paper, we ask three complementary questions about parliamentary discourse: how things are said, what is being said, and who is speaking…

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