mlsanityData to 7 Oct 2026

Exploring the Role of Prior Beliefs for Argument Persuasion

arXiv 1906.11301 ↗First posted 26 Jun 2019cs.CL cs.AIcited by 30

Not on the map. Why?

Abstract (arXiv)

Public debate forums provide a common platform for exchanging opinions on a topic of interest. While recent studies in natural language processing (NLP) have provided empirical evidence that the language of the debaters and their patterns of interaction play a key role in changing the mind of a reader, research in psychology has shown that prior beliefs can affect our interpretation of an argument and could therefore constitute a competing alternative explanation for resistance to changing one's stance. To study the actual effect of language use vs. prior beliefs on persuasion, we provide a new dataset and propose a controlled setting that takes into consideration two reader level factors: political and religious ideology. We find that prior beliefs affected by these reader level factors play a more important role than language use effects and argue that it is important to account for them in NLP studies of persuasion.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jun 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 8; 2023: 1; 2024: 6; 2025: 4; 2026: 5.

30 papers.

Sort:

  1. 2021Did they answer? Subjective acts and intents in conversational discoursecited by 22
  2. 2022The Moral Debater: A Study on the Computational Generation of Morally Framed Argumentscited by 22
  3. 2024Can Language Models Recognize Convincing Arguments?cited by 21
  4. 2024Teaching Models to Balance Resisting and Accepting Persuasioncited by 19
  5. 2021RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversationscited by 18
  6. 2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
  7. 2021Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requestscited by 16
  8. 2021Belief-based Generation of Argumentative Claimscited by 14
  9. 2025Must Read: A Comprehensive Survey of Computational Persuasioncited by 12
  10. 2024A semantic embedding space based on large language models for modelling human beliefscited by 9
  11. 2021Exploring Discourse Structures for Argument Impact Classificationcited by 7
  12. 2022Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussioncited by 7
18 more
  1. 2022An Item Response Theory Framework for Persuasioncited by 5
  2. 2022Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLPcited by 4
  3. 2023Contextualizing Argument Quality Assessment with Relevant Knowledgecited by 4
  4. 2024Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deceptioncited by 4
  5. 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Modelscited by 4
  6. 2025AI Debaters are More Persuasive when Arguing in Alignment with Their Own Beliefscited by 4
  7. 2022Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinioncited by 3
  8. 2025Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluationcited by 3
  9. 2022Persuasion Strategies in Advertisementscited by 2
  10. 2025Trust Me, I Can Convince You: The Contextualized Argument Appraisal Frameworkcited by 2
  11. 2022A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deceptioncited by 1
  12. 2026Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Predictioncited by 1
  13. 2022Towards a New Science of Disinformationcited by 0
  14. 2024Persona Knowledge-Aligned Prompt Tuning Method for Online Debatecited by 0
  15. 2026SAD: A Large-Scale Strategic Argumentative Dialogue Datasetcited by 0
  16. 2026GRASP: Deterministic argument ranking in interaction graphscited by 0
  17. 2026A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracingcited by 0
  18. 2026ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representationcited by 0