{"total":15,"rows":[{"id":"2106.14574","title":"Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics","created":"2021-06-28","cited_by_count":83,"area":null},{"id":"2107.03451","title":"Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling","created":"2021-07-07","cited_by_count":78,"area":null},{"id":"2205.00501","title":"Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation","created":"2022-05-01","cited_by_count":69,"area":null},{"id":"2205.02526","title":"Theories of \"Gender\" in NLP Bias Research","created":"2022-05-05","cited_by_count":62,"area":null},{"id":"2102.04257","title":"Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities","created":"2021-02-03","cited_by_count":40,"area":null},{"id":"2205.10095","title":"How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing","created":"2022-05-20","cited_by_count":16,"area":null},{"id":"2207.10639","title":"Session-based Cyberbullying Detection in Social Media: A Survey","created":"2022-07-14","cited_by_count":10,"area":null},{"id":"2104.02532","title":"End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning","created":"2021-04-06","cited_by_count":6,"area":null},{"id":"2201.06384","title":"Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations","created":"2022-01-17","cited_by_count":5,"area":null},{"id":"2205.12391","title":"Toward Understanding Bias Correlations for Mitigation in NLP","created":"2022-05-24","cited_by_count":5,"area":null},{"id":"2509.25539","title":"Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2104.08635","title":"UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection","created":"2021-04-17","cited_by_count":1,"area":null},{"id":"2402.16458","title":"ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection","created":"2024-02-26","cited_by_count":1,"area":null},{"id":"2110.00116","title":"#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics","created":"2021-09-30","cited_by_count":0,"area":null},{"id":"2512.17340","title":"Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease","created":"2025-12-19","cited_by_count":0,"area":null}],"next_cursor":null}