{"total":38,"rows":[{"id":"2102.08886","title":"Towards generalisable hate speech detection: a review on obstacles and solutions","created":"2021-02-17","cited_by_count":66,"area":null},{"id":"2206.09917","title":"Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models","created":"2022-06-20","cited_by_count":51,"area":null},{"id":"2109.09483","title":"ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI","created":"2021-09-20","cited_by_count":46,"area":null},{"id":"2104.08790","title":"Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines","created":"2021-04-18","cited_by_count":32,"area":null},{"id":"2307.01680","title":"Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation","created":"2023-07-04","cited_by_count":28,"area":null},{"id":"2404.17874","title":"From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets","created":"2024-04-27","cited_by_count":25,"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":"2307.04761","title":"Understanding Counterspeech for Online Harm Mitigation","created":"2023-07-01","cited_by_count":17,"area":null},{"id":"2109.12986","title":"Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection","created":"2021-09-23","cited_by_count":14,"area":null},{"id":"2204.02261","title":"Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors","created":"2022-04-05","cited_by_count":14,"area":null},{"id":"2311.14212","title":"Annotation Sensitivity: Training Data Collection Methods Affect Model Performance","created":"2023-11-23","cited_by_count":14,"area":null},{"id":"2109.05325","title":"To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence","created":"2021-09-11","cited_by_count":12,"area":null},{"id":"2403.19260","title":"NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data","created":"2024-03-28","cited_by_count":10,"area":null},{"id":"2310.14757","title":"SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research","created":"2023-10-23","cited_by_count":9,"area":null},{"id":"2106.05903","title":"Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate","created":"2021-06-10","cited_by_count":8,"area":null},{"id":"2307.12418","title":"HateModerate: Testing Hate Speech Detectors against Content Moderation Policies","created":"2023-07-23","cited_by_count":7,"area":null},{"id":"2402.03221","title":"\"Define Your Terms\" : Enhancing Efficient Offensive Speech Classification with Definition","created":"2024-02-05","cited_by_count":7,"area":null},{"id":"2205.01374","title":"Hidden behind the obvious: misleading keywords and implicitly abusive language on social media","created":"2022-05-03","cited_by_count":6,"area":null},{"id":"2109.11372","title":"A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar","created":"2021-09-22","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":"2110.13980","title":"Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions","created":"2021-10-26","cited_by_count":4,"area":null},{"id":"2112.02265","title":"\"Stop Asian Hate!\" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic","created":"2021-12-04","cited_by_count":4,"area":null},{"id":"2201.06496","title":"ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination","created":"2022-01-17","cited_by_count":3,"area":null},{"id":"2204.03506","title":"QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media","created":"2022-03-08","cited_by_count":2,"area":null},{"id":"2204.07010","title":"Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference","created":"2022-04-14","cited_by_count":2,"area":null},{"id":"2410.15314","title":"KTCR: Improving Implicit Hate Detection with Knowledge Transfer driven Concept Refinement","created":"2024-10-20","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":"2510.18582","title":"Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media","created":"2025-10-21","cited_by_count":2,"area":null},{"id":"2103.11806","title":"Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning","created":"2021-03-22","cited_by_count":1,"area":null},{"id":"2201.11770","title":"Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab","created":"2022-01-27","cited_by_count":1,"area":null},{"id":"2605.22435","title":"Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2109.07588","title":"An influencer-based approach to understanding radical right viral tweets","created":"2021-09-15","cited_by_count":0,"area":null},{"id":"2206.02114","title":"Speech Detection Task Against Asian Hate: BERT the Central, While Data-Centric Studies the Crucial","created":"2022-06-05","cited_by_count":0,"area":null},{"id":"2405.11030","title":"The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content","created":"2024-05-17","cited_by_count":0,"area":null},{"id":"2503.03582","title":"Scaling Crowdsourced Election Monitoring: Construction and Evaluation of Classification Models for Multilingual and Cross-Domain Classification Settings","created":"2025-03-05","cited_by_count":0,"area":null},{"id":"2504.17653","title":"Towards a comprehensive taxonomy of online abusive language informed by machine leaning","created":"2025-04-24","cited_by_count":0,"area":null},{"id":"2506.16190","title":"Web(er) of Hate: A Survey on How Hate Speech Is Typed","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2604.14970","title":"Explain the Flag: Contextualizing Hate Speech Beyond Censorship","created":"2026-04-16","cited_by_count":0,"area":null}],"next_cursor":null}