{"total":23,"rows":[{"id":"2101.01673","title":"Characterizing Intersectional Group Fairness with Worst-Case Comparisons","created":"2021-01-05","cited_by_count":42,"area":null},{"id":"2105.02091","title":"When Fair Ranking Meets Uncertain Inference","created":"2021-05-05","cited_by_count":22,"area":null},{"id":"2201.12662","title":"Fair ranking: a critical review, challenges, and future directions","created":"2022-01-29","cited_by_count":21,"area":null},{"id":"2311.14084","title":"Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images","created":"2023-11-23","cited_by_count":13,"area":null},{"id":"2102.05996","title":"Fairness Through Regularization for Learning to Rank","created":"2021-02-11","cited_by_count":8,"area":null},{"id":"2202.01615","title":"Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics","created":"2022-02-03","cited_by_count":8,"area":null},{"id":"2103.11023","title":"Individually Fair Ranking","created":"2021-03-19","cited_by_count":7,"area":null},{"id":"2112.06288","title":"Fairness for Robust Learning to Rank","created":"2021-12-12","cited_by_count":6,"area":null},{"id":"2406.04298","title":"Measuring and Addressing Indexical Bias in Information Retrieval","created":"2024-06-06","cited_by_count":6,"area":null},{"id":"2205.02414","title":"Subverting Fair Image Search with Generative Adversarial Perturbations","created":"2022-05-05","cited_by_count":5,"area":null},{"id":"2405.00978","title":"Language Fairness in Multilingual Information Retrieval","created":"2024-05-02","cited_by_count":5,"area":null},{"id":"2204.13765","title":"Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking","created":"2022-04-28","cited_by_count":4,"area":null},{"id":"2309.01610","title":"Fairness in Ranking under Disparate Uncertainty","created":"2023-09-04","cited_by_count":4,"area":null},{"id":"2403.05975","title":"Measuring Bias in a Ranked List using Term-based Representations","created":"2024-03-09","cited_by_count":4,"area":null},{"id":"2305.05608","title":"The Role of Relevance in Fair Ranking","created":"2023-05-09","cited_by_count":3,"area":null},{"id":"2502.17921","title":"Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness","created":"2025-02-25","cited_by_count":3,"area":null},{"id":"2509.06195","title":"Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods","created":"2025-09-07","cited_by_count":3,"area":null},{"id":"2212.14351","title":"Properties of Group Fairness Metrics for Rankings","created":"2022-12-29","cited_by_count":2,"area":null},{"id":"2603.10332","title":"Does Reasoning Make Search More Fair? Comparing Fairness in Reasoning and Non-Reasoning Rerankers","created":"2026-03-11","cited_by_count":2,"area":null},{"id":"2507.14352","title":"A Reproducibility Study of Product-side Fairness in Bundle Recommendation","created":"2025-07-18","cited_by_count":1,"area":null},{"id":"2401.11201","title":"Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects","created":"2024-01-20","cited_by_count":0,"area":null},{"id":"2506.22372","title":"Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2608.09899","title":"Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study","created":"2026-08-10","cited_by_count":0,"area":null}],"next_cursor":null}