mlsanityData to 7 Oct 2026

Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation

arXiv 1802.06613 ↗First posted 19 Feb 2018cs.CLcited by 32

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Abstract (arXiv)

Arguing without committing a fallacy is one of the main requirements of an ideal debate. But even when debating rules are strictly enforced and fallacious arguments punished, arguers often lapse into attacking the opponent by an ad hominem argument. As existing research lacks solid empirical investigation of the typology of ad hominem arguments as well as their potential causes, this paper fills this gap by (1) performing several large-scale annotation studies, (2) experimenting with various neural architectures and validating our working hypotheses, such as controversy or reasonableness, and (3) providing linguistic insights into triggers of ad hominem using explainable neural network architectures.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Feb 2018.

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Citing papers per year: 2021: 3; 2022: 5; 2023: 5; 2024: 7; 2025: 6; 2026: 6.

32 papers.

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  1. 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 49
  2. 2022Logical Fallacy Detectioncited by 25
  3. 2023How susceptible are LLMs to Logical Fallacies?cited by 23
  4. 2023Multitask Instruction-based Prompting for Fallacy Recognitioncited by 22
  5. 2021Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentationcited by 17
  6. 2024Missci: Reconstructing Fallacies in Misrepresented Sciencecited by 14
  7. 2022Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussionscited by 11
  8. 2024Are LLMs Good Zero-Shot Fallacy Classifiers?cited by 10
  9. 2024LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedbackcited by 7
  10. 2024How Did We Get Here? Summarizing Conversation Dynamicscited by 6
  11. 2025Fine-grained Fallacy Detection with Human Label Variationcited by 6
  12. 2021"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Spacecited by 5
20 more
  1. 2023Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognitioncited by 5
  2. 2025Towards a Perspectivist Turn in Argument Quality Assessmentcited by 5
  3. 2022Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasetscited by 4
  4. 2023MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classificationcited by 4
  5. 2024Argument Quality Assessment in the Age of Instruction-Following Large Language Modelscited by 4
  6. 2025ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentationcited by 4
  7. 2024Ethos and Pathos in Online Group Discussions: Corpora for Polarisation Issues in Social Mediacited by 3
  8. 2022"Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wildcited by 2
  9. 2025Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detectioncited by 2
  10. 2022Theme Aspect Argumentation Model for Handling Fallaciescited by 1
  11. 2023Modeling Appropriate Language in Argumentationcited by 1
  12. 2025Forecasting Conversation Derailments Through Generationcited by 1
  13. 2025The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speechcited by 1
  14. 2026ArgBench: Benchmarking LLMs on Computational Argumentation Taskscited by 1
  15. 2026Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classificationcited by 1
  16. 2024A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debatescited by 0
  17. 2026The geometry of online conversations and the causal antecedents of conflictual discoursecited by 0
  18. 2026Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learningcited by 0
  19. 2026Wait! There's a Way Out: A Decision Mechanism for Forecasting Conversational Derailmentcited by 0
  20. 2026How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messagescited by 0