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FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval., , , , , , , , , and 22 other author(s). SIGIR Forum, 53 (2): 20-43 (2019)Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations., , and . CoRR, (2021)Unified Browsing Models for Linear and Grid Layouts., and . CoRR, (2023)Overview of the TREC 2022 Fair Ranking Track., , , and . TREC, volume 500-338 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)Patterns of Gender-Specializing Query Reformulation., , , and . SIGIR, page 2241-2245. ACM, (2023)FairUMAP 2019 Chairs' Welcome Overview., , , , , , , , and . UMAP (Adjunct Publication), page 279-281. ACM, (2019)3rd FAccTRec Workshop: Responsible Recommendation., , , , and . RecSys, page 607-608. ACM, (2020)Privacy for All: Ensuring Fair and Equitable Privacy Protections., , and . FAT, volume 81 of Proceedings of Machine Learning Research, page 35-47. PMLR, (2018)FAccTRec 2023: The 6th Workshop on Responsible Recommendation., , , , and . RecSys, page 1267-1268. ACM, (2023)Seeking Information with a More Knowledgeable Other., , and . Interactions, 30 (1): 70-73 (2023)