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Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion

arXiv 1708.09085 ↗First posted 30 Aug 2017cs.CLcited by 34

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Abstract (arXiv)

Americans spend about a third of their time online, with many participating in online conversations on social and political issues. We hypothesize that social media arguments on such issues may be more engaging and persuasive than traditional media summaries, and that particular types of people may be more or less convinced by particular styles of argument, e.g. emotional arguments may resonate with some personalities while factual arguments resonate with others. We report a set of experiments testing at large scale how audience variables interact with argument style to affect the persuasiveness of an argument, an under-researched topic within natural language processing. We show that belief change is affected by personality factors, with conscientious, open and agreeable people being more convinced by emotional arguments.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Aug 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 5; 2023: 3; 2024: 8; 2025: 9; 2026: 5.

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  1. 2022The Moral Debater: A Study on the Computational Generation of Morally Framed Argumentscited by 22
  2. 2024Measuring and Improving Persuasiveness of Large Language Modelscited by 18
  3. 2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
  4. 2021Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requestscited by 16
  5. 2021Learning From Revisions: Quality Assessment of Claims in Argumentation at Scalecited by 14
  6. 2025Large Language Models in Argument Mining: A Surveycited by 14
  7. 2022ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Miningcited by 12
  8. 2025Must Read: A Comprehensive Survey of Computational Persuasioncited by 12
  9. 2024Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMscited by 11
  10. 2024The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responsescited by 9
  11. 2023It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Gamescited by 8
  12. 2024Rater Cohesion and Quality from a Vicarious Perspectivecited by 8
22 more
  1. 2021Strategic Argumentation Dialogues for Persuasion: Framework and Experiments Based on Modelling the Beliefs and Concerns of the Persuadeecited by 7
  2. 2022How to disagree well: Investigating the dispute tactics used on Wikipediacited by 6
  3. 2025Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checkscited by 6
  4. 2022An Item Response Theory Framework for Persuasioncited by 5
  5. 2025Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communicationcited by 5
  6. 2025Towards a Perspectivist Turn in Argument Quality Assessmentcited by 5
  7. 2023Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Miningcited by 4
  8. 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Modelscited by 4
  9. 2026Detecting Winning Arguments with Large Language Models and Persuasion Strategiescited by 3
  10. 2022Persuasion Strategies in Advertisementscited by 2
  11. 2024Hatred Stems from Ignorance! Distillation of the Persuasion Modes in Countering Conversational Hate Speechcited by 2
  12. 2025Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedgingcited by 2
  13. 2025Trust Me, I Can Convince You: The Contextualized Argument Appraisal Frameworkcited by 2
  14. 2025A Hybrid Theory and Data-driven Approach to Persuasion Detection with Large Language Modelscited by 2
  15. 2023Multi-Task Learning Improves Performance In Deep Argument Mining Modelscited by 1
  16. 2026Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Predictioncited by 1
  17. 2024Persona Knowledge-Aligned Prompt Tuning Method for Online Debatecited by 0
  18. 2024Was that Sarcasm?: A Literature Survey on Sarcasm Detectioncited by 0
  19. 2025Categorical Emotions or Appraisals - Which Emotion Model Explains Argument Convincingness Better?cited by 0
  20. 2026A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracingcited by 0
  21. 2026Persuasion Index: A Theory-Guided Framework for Persuasion Analysiscited by 0
  22. 2026PTCG: Persona-guided Tree-based Counterargument Generationcited by 0