DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate
Year: 2025
Type: conference-paper
Abstract: Television debates play a key role in shaping public opinion, however, the rapid exchange of viewpoints in these settings often makes it difficult to perceive the underlying nature of the discussion.While there exist several debate visualisation techniques, to the best of our knowledge, none of them emphasise the argumentative dynamics in particular.With DEBARGVIS, we present a new interactive debate visualisation tool that leverages data annotated with argumentation structures to demonstrate how speaker interactions unfold over time, enabling users to deepen their comprehension of the debate.
Authors: Martin Gruber, Zlata Kikteva, Ignaz Rutter, Annette Hautli-Janisz
Institutions: University of Passau, University of Tübingen
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: Volkswagen Foundation
Award: G5001463769
OpenAlex ID: W4412889279