Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes
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Abstract (arXiv)
Debate and deliberation play essential roles in politics and government, but most models presume that debates are won mainly via superior style or agenda control. Ideally, however, debates would be won on the merits, as a function of which side has the stronger arguments. We propose a predictive model of debate that estimates the effects of linguistic features and the latent persuasive strengths of different topics, as well as the interactions between the two. Using a dataset of 118 Oxford-style debates, our model's combination of content (as latent topics) and style (as linguistic features) allows us to predict audience-adjudicated winners with 74% accuracy, significantly outperforming linguistic features alone (66%). Our model finds that winning sides employ stronger arguments, and allows us to identify the linguistic features associated with strong or weak arguments.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 May 2017.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 2; 2026: 3.
8 papers.
- 2023AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interactioncited by 8
- 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Modelscited by 4
- 2025Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Modelscited by 3
- 2024Modeling the Quality of Dialogical Explanationscited by 2
- 2025From Argumentation to Deliberation: Perspectivized Stance Vectors for Fine-grained (Dis)agreement Analysiscited by 2
- 2026DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarioscited by 1
- 2026Persuasion Index: A Theory-Guided Framework for Persuasion Analysiscited by 0
- 2026ARGUS: Theory-of-Mind Guided Argument Generation with Strategy-Aware Planning and Knowledge Groundingcited by 0
- 2026ARGUS: Theory-of-Mind Guided Argument Generation with Strategy-Aware Planning and Knowledge Grounding6 Aug 2026
- 2026Persuasion Index: A Theory-Guided Framework for Persuasion Analysis12 Jun 2026
- 2026DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios5 Jun 2026
- 2025Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models7 Mar 2025
- 2025From Argumentation to Deliberation: Perspectivized Stance Vectors for Fine-grained (Dis)agreement Analysis10 Feb 2025
- 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Models24 Mar 2024
- 2024Modeling the Quality of Dialogical Explanations1 Mar 2024
- 2023AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction31 Oct 2023