An Item Response Theory Framework for Persuasion
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Abstract (arXiv)
In this paper, we apply Item Response Theory, popular in education and political science research, to the analysis of argument persuasiveness in language. We empirically evaluate the model's performance on three datasets, including a novel dataset in the area of political advocacy. We show the advantages of separating these components under several style and content representations, including evaluating the ability of the speaker embeddings generated by the model to parallel real-world observations about persuadability.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 10 of its 44 references that are in the map. First posted on arXiv 24 Apr 2022.
Builds on
10 of 44 references.
References · 10
- 2019Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Goodcited by 209
- 2013Crowdsourcing a Word-Emotion Association Lexiconcited by 196
- 2016Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussionscited by 110
- 2019A Large-scale Dataset for Argument Quality Ranking: Construction and Analysiscited by 67
- 2019Automatic Argument Quality Assessment -- New Datasets and Methodscited by 47
- 2017Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasioncited by 35
- 2019Exploring the Role of Prior Beliefs for Argument Persuasioncited by 31
- 2019Are You Convinced? Choosing the More Convincing Evidence with a Siamese Networkcited by 29
- 2019A Corpus for Modeling User and Language Effects in Argumentation on Online Debatingcited by 23
- 2020Text-Based Ideal Pointscited by 22
Built on by
Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 1.
5 papers.
- 2022Let's Negotiate! A Survey of Negotiation Dialogue Systemscited by 31
- 2025Towards a Perspectivist Turn in Argument Quality Assessmentcited by 5
- 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Modelscited by 4
- 2023Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Modelcited by 1
- 2024Let's Negotiate! A Survey of Negotiation Dialogue Systemscited by 0
- 2025Towards a Perspectivist Turn in Argument Quality Assessment20 Feb 2025
- 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Models24 Mar 2024
- 2024Let's Negotiate! A Survey of Negotiation Dialogue Systems2 Feb 2024
- 2023Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model16 Feb 2023
- 2022Let's Negotiate! A Survey of Negotiation Dialogue Systems18 Dec 2022