Effective democratic deliberation is vital for civic engagement and the health of legislative institutions. However, assessing parliamentary discourse quality is traditionally done using expert-scored...
The paper introduces a transparent, hybrid framework for Quantitative Discourse Analysis that blends lexical and semantic techniques. Using custom Python pipelines with NLTK, spaCy, and Sentence Transformers, the authors fine‑tune preprocessing, lemmatisation, and embedding generation, then apply an iterative BERTopic workflow involving UMAP, HDBSCAN, and c‑TF‑IDF to produce coherent topics. The approach is illustrated through a historical political discourse case study, emphasizing code‑level transparency, researcher control, and methodological triangulation.
By Thomas Compton
arXiv:2611.05381v1 Announce Type: new
Abstract: Legislative hearings are distinct communication events with their own human recognizable structure and logic, yet they have been analyzed as distinct p...
By Isaac Rudnick, Nipun Das, Foaad Khosmood
arXiv:2508. 03250v4 Announce Type: replace-cross Abstract: The increasing amount of political debates and politics-related discussions calls for the definition of novel computational methods to automatically analyse such content with the final goal of lightening up political deliberation to citizens.
By Deborah Dore, Elena Cabrio, Serena Villata
Enthymemes, arguments with unstated premises or conclusions, are pervasive in persuasive discourse, yet their annotation remains notoriously subjective. We present a resource of 1,482 tweets from politically controversial discourse, annotated by five annotators for the presence of enthymemes and their argument structure, designed to study label variation.
arXiv:2608. 13410v1 Announce Type: new Abstract: Parliamentary proceedings are a primary record of democratic deliberation, yet their volume and fragmentation make multi-perspective access difficult for citizens, journalists, and researchers.
By Mirko Tritella, Riccardo Pozzi, Matteo Palmonari