{"total":22,"rows":[{"id":"2206.06423","title":"Hate Speech and Counter Speech Detection: Conversational Context Does Matter","created":"2022-06-13","cited_by_count":32,"area":null},{"id":"2311.00161","title":"Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language","created":"2023-10-31","cited_by_count":24,"area":null},{"id":"2403.20103","title":"NLP for Counterspeech against Hate: A Survey and How-To Guide","created":"2024-03-29","cited_by_count":22,"area":null},{"id":"2109.00227","title":"Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments","created":"2021-09-01","cited_by_count":20,"area":null},{"id":"2404.01651","title":"NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps","created":"2024-04-02","cited_by_count":20,"area":null},{"id":"2307.04761","title":"Understanding Counterspeech for Online Harm Mitigation","created":"2023-07-01","cited_by_count":17,"area":null},{"id":"2109.02941","title":"Countering Online Hate Speech: An NLP Perspective","created":"2021-09-07","cited_by_count":12,"area":null},{"id":"2310.13985","title":"HateRephrase: Zero- and Few-Shot Reduction of Hate Intensity in Online Posts using Large Language Models","created":"2023-10-21","cited_by_count":8,"area":null},{"id":"2203.03584","title":"Counter Hate Speech in Social Media: A Survey","created":"2022-02-21","cited_by_count":5,"area":null},{"id":"2311.03969","title":"Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media","created":"2023-11-07","cited_by_count":5,"area":null},{"id":"2508.08274","title":"Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition","created":"2025-07-30","cited_by_count":5,"area":null},{"id":"2108.12521","title":"TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter","created":"2021-08-27","cited_by_count":4,"area":null},{"id":"2403.08035","title":"Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection","created":"2024-03-12","cited_by_count":4,"area":null},{"id":"2312.07228","title":"Toxic language detection: a systematic review of Arabic datasets","created":"2023-12-12","cited_by_count":3,"area":null},{"id":"2403.15449","title":"Hatred Stems from Ignorance! Distillation of the Persuasion Modes in Countering Conversational Hate Speech","created":"2024-03-18","cited_by_count":2,"area":null},{"id":"2506.11919","title":"Effectiveness of Counter-Speech against Abusive Content: A Multidimensional Annotation and Classification Study","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2407.20274","title":"Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI","created":"2024-07-25","cited_by_count":1,"area":null},{"id":"2208.13318","title":"Multi-dimensional Racism Classification during COVID-19: Stigmatization, Offensiveness, Blame, and Exclusion","created":"2022-08-29","cited_by_count":0,"area":null},{"id":"2410.03032","title":"Designing Human-AI Collaboration to Support Learning in Counterspeech Writing","created":"2024-10-03","cited_by_count":0,"area":null},{"id":"2508.04638","title":"Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2604.16765","title":"Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2609.16906","title":"Deconstructing Stereotypes: Scope-Conditioned Generation for Effective Multilingual Counterspeech","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}