Natural Language Processing to Enhance Deliberation in Political Online Discussions: A Survey
June 03, 2025 ยท The Cartographer ยท ๐ arXiv.org
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Natural Language Processing to Enhance Deliberation in Political Online Discussions: A Survey"
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Authors
Maike Behrendt, Stefan Sylvius Wagner, Carina Weinmann, Marike Bormann, Mira Warne, Stefan Harmeling
arXiv ID
2506.02533
Category
cs.CL: Computation & Language
Cross-listed
cs.HC
Citations
1
Venue
arXiv.org
Last Checked
4 days ago
Abstract
Political online participation in the form of discussing political issues and exchanging opinions among citizens is gaining importance with more and more formats being held digitally. To come to a decision, a careful discussion and consideration of opinions and a civil exchange of arguments, which is defined as the act of deliberation, is desirable. The quality of discussions and participation processes in terms of their deliberativeness highly depends on the design of platforms and processes. To facilitate online communication for both participants and initiators, machine learning methods offer a lot of potential. In this work we want to showcase which issues occur in political online discussions and how machine learning can be used to counteract these issues and enhance deliberation.
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