June 05, 2017 conference-paper Open access Measuring Fairness in Ranked Outputs DOI: 10.1145/3085504.3085526 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 366 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Fairness-Aware Ranking Recovery from Pairwise Comparisons 2026 ACM Web Science Conference (WebSci) conference-paper Social Sciences Ethics and Social Impacts of AI Open access 0 citations Properties of Group Fairness Measures for Rankings 2024 ACM Transactions on Social Computing article Social Sciences Ethics and Social Impacts of AI Open access 6 citations Measuring Bias in a Ranked List Using Term-Based Representations 2024 Lecture notes in computer science conference-paper Social Sciences Ethics and Social Impacts of AI Open access 5 citations Inequality and inequity in network-based ranking and recommendation algorithms 2022 Scientific Reports article Physics and Astronomy Complex Network Analysis Techniques Open access 38 citations The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness 2021 ACM Conference on User Modeling, Adaptation and Personalization (UMAP) conference-paper Social Sciences Ethics and Social Impacts of AI Open access 3 citations 5 results References 0