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Argument Mining: Extracting Arguments from Online Dialogue

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Using Argument Mining to Assess the Argumentation Quality of Essays

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Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online DiscussionsPreprint

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And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue

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Recognizing Arguing Subjectivity and Argument Tags

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Detecting Life Events in Feeds from Twitter

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Minimal Narrative Annotation Schemes and Their Applications

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Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events

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Getting Reliable Annotations for Sarcasm in Online Dialogues

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Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online DiscussionsPreprint

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Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

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Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

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Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum

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Empirical evaluation of abstract argumentation: Supporting the need for bipolar and probabilistic approaches

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Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays

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Returning the N to NLP: Towards Contextually Personalized Classification Models

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Towards a framework for computational persuasion with applications in behaviour change

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Analyzing the Persuasive Effect of Style in News Editorial Argumentation

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Argumentation Synthesis following Rhetorical Strategies

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Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls

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Debbie, the Debate Bot of the Future

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Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing

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Proceedings of the 6th Workshop on Argument Mining

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Comfort or safety? Gathering and using the concerns of a participant for better persuasion

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Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness

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Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays

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Impact of Argument Type and Concerns in Argumentation with a Chatbot

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Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems

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Attentive Interaction Model: Modeling Changes in View in Argumentation

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Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale

Skitalinskaya, G., Klaff, J., & Wachsmuth, H. (2021) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2021.eacl-main.147 · Cited by 26 · see citing works

Towards Argument Mining for Social Good: A Survey

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The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments

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Scientia Potentia Est—On the Role of Knowledge in Computational Argumentation

Lauscher, A., Wachsmuth, H., Gurevych, I., & Glavaš, G. (2022) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00525 · Cited by 24 · see citing works

Persuasion of the Undecided: Language vs. the Listener

Longpre, L., Durmus, E., & Cardie, C. (2019) · Workshop on Argument Mining (ArgMining) · doi:10.18653/v1/w19-4519 · Cited by 20 · see citing works

Intrinsic Quality Assessment of Arguments

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Persuasion Strategies in Advertisements

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Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus

Baff, R. E., Wachsmuth, H., Al‐Khatib, K., & Stein, B. (2018) · Conference on Computational Natural Language Learning · doi:10.18653/v1/k18-1044 · Cited by 19 · see citing works

Strategic argumentation dialogues for persuasion: Framework and experiments based on modelling the beliefs and concerns of the persuadee

Hadoux, E., Hunter, A., & Polberg, S. (2022) · Argument & Computation · doi:10.3233/aac-210005 · Cited by 17 · see citing works

Modeling the Factors of User Success in Online Debate

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Measuring Online Debaters’ Persuasive Skill from Text over Time

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Pathos in Natural Language Argumentation: Emotional Appeals and Reactions

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Empirical Methods for Modelling Persuadees in Dialogical Argumentation

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Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests

Chen, J., & Yang, D. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i14.17498 · Cited by 17 · see citing works

An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in TextPreprint

Iyer, R. R., & Sycara, K. P. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.06745 · Cited by 15 · see citing works

Persuasive communication systems: a machine learning approach to predict the effect of linguistic styles and persuasion techniques

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Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining

Liu, Z., Elaraby, M., Zhong, Y., & Litman, D. J. (2023) · Workshop on Argument Mining (ArgMining) · doi:10.18653/v1/2023.argmining-1.12 · Cited by 12 · see citing works

Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction

Shmueli-Scheuer, M., Herzig, J., Konopnicki, D., & Sandbank, T. (2019) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3320435.3320467 · Cited by 12 · see citing works

What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments

Atkinson, D., Srinivasan, K., & Tan, C. (2019) · Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d19-1289 · Cited by 17 · see citing works

In Opinion Holders’ Shoes: Modeling Cumulative Influence for View Change in Online Argumentation

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Towards User-Centric Text-to-Text Generation: A Survey

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Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification

Kanagasabai, R., Veeramani, H., Rajamanickam, S., Westerski, A., & Kim, J. (2023) · Workshop on Argument Mining (ArgMining) · doi:10.18653/v1/2023.argmining-1.20 · Cited by 8 · see citing works

Hybrid Hierarchical Learning for Adaptive Persuasion in Human-Robot Interaction

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How to Ask for Donations? Learning User-Specific Persuasive Dialogue Policies through Online Interactions

Tran, N., Alikhani, M., & Litman, D. J. (2022) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3503252.3531313 · Cited by 8 · see citing works

Lightly-Supervised Modeling of Argument Persuasiveness

Persing, I., & Ng, V. (2017) · International Joint Conference on Natural Language Processing · Cited by 6 · see citing works

Argument strength in probabilistic argumentation based on defeasible rules

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Learning and Updating User Models for Subpopulations in Persuasive Argumentation Using Beta Distributions

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Scalable Bayesian preference learning for crowds

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Must Read: A Comprehensive Survey of Computational Persuasion

Bozdag, N. B., Mehri, S., Yang, X., Ha, H., Cheng, Z., Durmus, E., You, J., Ji, H., Tür, G., & Hakkani-Tur, D. Z. (2026) · ACM Computing Surveys · doi:10.1145/3800687 · Cited by 14 · see citing works

Attentive Interaction Model: Modeling Changes in View in ArgumentationPreprint

Jo, Y., Poddar, S., Jeon, B., Shen, Q., Rosé, C. P., & Neubig, G. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.00065 · Cited by 5 · see citing works

Measures of Argument Strength: A Computational, Large-Scale Analysis of Effective Persuasion in Real-World Debates

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Sketching the vision of the Web of Debates

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Finding Convincing Arguments Using Scalable Bayesian Preference Learning

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Hatred Stems from Ignorance! Distillation of the Persuasion Modes in Countering Conversational Hate Speech

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The Quantitative Evaluation of the Pathos to Ethos Ratio in Scientific Texts

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Leveraging Topic Relatedness for Argument Persuasion

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Sarcasm Discernment on Social Media Platform

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How to disagree well: Investigating the dispute tactics used on Wikipedia

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IUST at ImageArg: The First Shared Task in Multimodal Argument Mining

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Predicting Stance Change Using Modular Architectures

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MODEL OF PSYCHOLOGICAL INFLUENCE IN SOCIAL MEDIA

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Would I Lie to You? How Users Evaluate Faked Online Content Depending on Its Publication Type

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Persuasiveness of News Editorials depending on Ideology and Personality

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How do social scientists reach causal inferences? A study of reception

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An Item Response Theory Framework for Persuasion

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SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information

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A General Framework for Multimodal Argument Persuasiveness Classification of Tweets

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What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive ArgumentsPreprint

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Intrinsic Quality Assessment of ArgumentsPreprint

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Debbie, the Debate Bot of the FuturePreprint

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A Pilot Study on Argument Simplification in Stance-Based Opinions

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Content Selection for Effective Counter-Argument Generation

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What Influences Influence? How the Communicative Situation Influences Persuasion

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Сhatbots as components of information and analytical systems for psychological support of athletes (literary review)

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Computational Argumentation for the Automatic Analysis of Argumentative Discourse and Human Persuasion

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HuPer: Human Factors Integrated Persuasive Dialogue Models

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The Impact of Online Argumentation Strategies on Audience Persuasion: The Moderating Effect of the Big Five Personality

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Exploring ConceptNet Knowledge for Enhancing LLMs Performance in Argument Impact Classification Tasks

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Data Speaks, But who Gives It a Voice? Understanding Persuasive Strategies in Data-Driven News Articles

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Argument Quality Assessment

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