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        <title>Analyzing Debate Dynamics in the Portuguese Parliament with Dialogue Action Flows</title>
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    <abstract>Analyzing how large-scale multi-party dialogues shape collective behavior is a central challenge in computational linguistics. However, traditional text-based methods often overlook the complex, non-linear turn-taking dynamics defining these interactions. To address this gap, we propose a framework based on Dialogue Action Flows (DAFs) that integrates verbal utterances and non-verbal actions into a unified probabilistic representation of interactional behavior. Interactions are encoded as speaker-action states, forming a probabilistic DAF that reveals dominant behavioral trajectories and recurrent patterns. We validate this framework on five years of Portuguese Parliament debates. Analysis reveals systematic behavioral asymmetries driven by party roles: while government parties exhibit increasing alignment, opposition forces, particularly the radical wing, maintain persistently high conflict. Additionally, the rising volume of interactions across legislative years indicates a progressively heated environment. Overall, our framework provides a quantitative and interpretable approach for modeling polarization, alignment, and interactional dynamics in multi-party political discourse.</abstract>
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%0 Conference Proceedings
%T Analyzing Debate Dynamics in the Portuguese Parliament with Dialogue Action Flows
%A Ferreira, Patrícia
%A Alves, Ana
%A Silva, Catarina
%A Oliveira, Hugo Gonçalo
%Y Souza, Marlo
%Y de-Dios-Flores, Iria
%Y Santos, Diana
%Y Freitas, Larissa
%Y Souza, Jackson Wilke da Cruz
%Y Ribeiro, Eugénio
%S Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
%D 2026
%8 April
%I Association for Computational Linguistics
%C Salvador, Brazil
%@ 979-8-89176-387-6
%F ferreira-etal-2026-analyzing
%X Analyzing how large-scale multi-party dialogues shape collective behavior is a central challenge in computational linguistics. However, traditional text-based methods often overlook the complex, non-linear turn-taking dynamics defining these interactions. To address this gap, we propose a framework based on Dialogue Action Flows (DAFs) that integrates verbal utterances and non-verbal actions into a unified probabilistic representation of interactional behavior. Interactions are encoded as speaker-action states, forming a probabilistic DAF that reveals dominant behavioral trajectories and recurrent patterns. We validate this framework on five years of Portuguese Parliament debates. Analysis reveals systematic behavioral asymmetries driven by party roles: while government parties exhibit increasing alignment, opposition forces, particularly the radical wing, maintain persistently high conflict. Additionally, the rising volume of interactions across legislative years indicates a progressively heated environment. Overall, our framework provides a quantitative and interpretable approach for modeling polarization, alignment, and interactional dynamics in multi-party political discourse.
%U https://aclanthology.org/2026.propor-1.37/
%P 369-379

Markdown (Informal)

[Analyzing Debate Dynamics in the Portuguese Parliament with Dialogue Action Flows](https://aclanthology.org/2026.propor-1.37/) (Ferreira et al., PROPOR 2026)

• Analyzing Debate Dynamics in the Portuguese Parliament with Dialogue Action Flows (Ferreira et al., PROPOR 2026)

ACL

• Patrícia Ferreira, Ana Alves, Catarina Silva, and Hugo Gonçalo Oliveira. 2026. Analyzing Debate Dynamics in the Portuguese Parliament with Dialogue Action Flows. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 369–379, Salvador, Brazil. Association for Computational Linguistics.