{"total":20,"rows":[{"id":"2205.04610","title":"Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation","created":"2022-05-10","cited_by_count":59,"area":null},{"id":"2103.06364","title":"User-centered Evaluation of Popularity Bias in Recommender Systems","created":"2021-03-10","cited_by_count":38,"area":null},{"id":"2106.06830","title":"Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP","created":"2021-06-12","cited_by_count":31,"area":null},{"id":"2307.13912","title":"Embedding Democratic Values into Social Media AIs via Societal Objective Functions","created":"2023-07-26","cited_by_count":25,"area":null},{"id":"2112.05700","title":"A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions","created":"2021-12-10","cited_by_count":18,"area":null},{"id":"2202.13446","title":"The Unfairness of Popularity Bias in Book Recommendation","created":"2022-02-27","cited_by_count":14,"area":null},{"id":"2510.04226","title":"What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models","created":"2025-10-05","cited_by_count":14,"area":null},{"id":"2107.08959","title":"T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems","created":"2021-07-19","cited_by_count":12,"area":null},{"id":"2309.00064","title":"Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond","created":"2023-08-31","cited_by_count":6,"area":null},{"id":"2207.12138","title":"Towards Fairness-Aware Multi-Objective Optimization","created":"2022-07-22","cited_by_count":4,"area":null},{"id":"2411.06624","title":"A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning","created":"2024-11-10","cited_by_count":3,"area":null},{"id":"2106.06605","title":"Modeling Language Usage and Listener Engagement in Podcasts","created":"2021-06-11","cited_by_count":2,"area":null},{"id":"2109.02475","title":"Recommendation System Simulations: A Discussion of Two Key Challenges","created":"2021-08-25","cited_by_count":2,"area":null},{"id":"2301.07483","title":"Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation","created":"2023-01-18","cited_by_count":2,"area":null},{"id":"2308.11254","title":"A survey on bias in machine learning research","created":"2023-08-22","cited_by_count":2,"area":null},{"id":"2305.14103","title":"Simulating News Recommendation Ecosystem for Fun and Profit","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2204.11457","title":"Islander: A Real-Time News Monitoring and Analysis System","created":"2022-04-25","cited_by_count":0,"area":null},{"id":"2301.07639","title":"A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems","created":"2023-01-18","cited_by_count":0,"area":null},{"id":"2302.02579","title":"Recommender Systems: A Primer","created":"2023-02-06","cited_by_count":0,"area":null},{"id":"2604.01036","title":"Aligning Recommendations with User Popularity Preferences","created":"2026-04-01","cited_by_count":0,"area":null}],"next_cursor":null}