DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate

Martin Gruber; Zlata Kikteva; Ignaz Rutter; Annette Hautli

doi:10.18653/v1/2025.argmining-1.13

DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate

Martin Gruber, Zlata Kikteva, Ignaz Rutter, Annette Hautli-Janisz

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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.

Anthology ID:: 2025.argmining-1.13
Volume:: Proceedings of the 12th Argument mining Workshop
Month:: July
Year:: 2025
Address:: Vienna, Austria
Editors:: Elena Chistova, Philipp Cimiano, Shohreh Haddadan, Gabriella Lapesa, Ramon Ruiz-Dolz
Venues:: ArgMining | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 140–146
Language:
URL:: https://aclanthology.org/2025.argmining-1.13/
DOI:: 10.18653/v1/2025.argmining-1.13
Bibkey:
Cite (ACL):: Martin Gruber, Zlata Kikteva, Ignaz Rutter, and Annette Hautli-Janisz. 2025. DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate. In Proceedings of the 12th Argument mining Workshop, pages 140–146, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):: DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate (Gruber et al., ArgMining 2025)
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PDF:: https://aclanthology.org/2025.argmining-1.13.pdf

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@inproceedings{gruber-etal-2025-debargvis,
    title = "{D}eb{A}rg{V}is: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate",
    author = "Gruber, Martin  and
      Kikteva, Zlata  and
      Rutter, Ignaz  and
      Hautli-Janisz, Annette",
    editor = "Chistova, Elena  and
      Cimiano, Philipp  and
      Haddadan, Shohreh  and
      Lapesa, Gabriella  and
      Ruiz-Dolz, Ramon",
    booktitle = "Proceedings of the 12th Argument mining Workshop",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.argmining-1.13/",
    doi = "10.18653/v1/2025.argmining-1.13",
    pages = "140--146",
    ISBN = "979-8-89176-258-9",
    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."
}

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%0 Conference Proceedings
%T DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate
%A Gruber, Martin
%A Kikteva, Zlata
%A Rutter, Ignaz
%A Hautli-Janisz, Annette
%Y Chistova, Elena
%Y Cimiano, Philipp
%Y Haddadan, Shohreh
%Y Lapesa, Gabriella
%Y Ruiz-Dolz, Ramon
%S Proceedings of the 12th Argument mining Workshop
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-258-9
%F gruber-etal-2025-debargvis
%X 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.
%R 10.18653/v1/2025.argmining-1.13
%U https://aclanthology.org/2025.argmining-1.13/
%U https://doi.org/10.18653/v1/2025.argmining-1.13
%P 140-146

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Markdown (Informal)

[DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate](https://aclanthology.org/2025.argmining-1.13/) (Gruber et al., ArgMining 2025)

DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate (Gruber et al., ArgMining 2025)

ACL

Martin Gruber, Zlata Kikteva, Ignaz Rutter, and Annette Hautli-Janisz. 2025. DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate. In Proceedings of the 12th Argument mining Workshop, pages 140–146, Vienna, Austria. Association for Computational Linguistics.