Unveiling argumentative communities through ad-populum argumentation schemes

This article introduces a method for detecting argumentative communities in semi-structured debates, which are supported by ad-populum argumentation schemes, as proposed by Walton. In these communities, opinions are characterized by their level of cohesion and the argumentative groups involved. In this context, we present a semi-structured argumentation formalism for analyzing social media debates and demonstrate how large language models can assist in instantiating the proposed formalism. We use conceptualizations, similarity and valued-based argumentation frameworks to assess argument cohesion and strength. Additionally, we model discursive interactions to analyze how stances influence one another and classify argumentative communities based on popular opinion argumentation schemes. We show that these communities can be modeled using such schemes, relying on public perception and consensus.

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Publication Details

Journal
Argument & Computation
Published
2026-07-23
DOI
https://doi.org/10.1177/19462174261466579
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00

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article

Unveiling argumentative communities through ad-populum argumentation schemes

Maximiliano Celmo David Budán, Gerardo I. Simari, María Vanina Martínez, Paola D. Budán et al.
Argument & Computation
Multi-Agent Systems and Negotiation
article

Unveiling argumentative communities through ad-populum argumentation schemes

Maximiliano Celmo David Budán, Gerardo I. Simari, María Vanina Martínez, Paola D. Budán, Maximiliano Javier Debórtoli
article en

Abstract

This article introduces a method for detecting argumentative communities in semi-structured debates, which are supported by ad-populum argumentation schemes, as proposed by Walton. In these communities, opinions are characterized by their level of cohesion and the argumentative groups involved. In this context, we present a semi-structured argumentation formalism for analyzing social media debates and demonstrate how large language models can assist in instantiating the proposed formalism. We use conceptualizations, similarity and valued-based argumentation frameworks to assess argument cohesion and strength. Additionally, we model discursive interactions to analyze how stances influence one another and classify argumentative communities based on popular opinion argumentation schemes. We show that these communities can be modeled using such schemes, relying on public perception and consensus.

Argument & Computation
National University of Santiago del Estero (AR), Centro Científico Tecnológico - San Juan (AR), Artificial Intelligence Research Institute (ES), Universidad Nacional del Sur (AR)
Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional del Sur, Universidad Nacional de Santiago del Estero, Agencia Nacional de Promoción Científica y Tecnológica, Consejo Superior de Investigaciones Científicas, Agencia Estatal de Investigación
Openalex Percentile: Top 6%
Multi-Agent Systems and Negotiation
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Unveiling argumentative communities through ad-populum argumentation schemes — Maximiliano Celmo David Budán, Gerardo I. Simari, et al. · Argument & Computation (2026) | TGRS Research Map | TGRS