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Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations.

, , , , and . FAT, page 129-138. ACM, (2019)

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Algorithmic Fairness in Multi-stakeholder Platforms. Springer, (2023)Toward Fair Recommendation in Two-sided Platforms, , , , and . ACM Transactions on the Web (TWEB), 16 (2): 1--34 (2021)Towards Fair Recommendation in Two-Sided Platforms., , , , and . CoRR, (2022)On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction., , , and . CoRR, (2020)Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract)., , , and . AAAI, page 15851-15852. AAAI Press, (2021)Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World., , , and . RecSys, page 358-367. ACM, (2020)A review of the role of causality in developing trustworthy ai systems, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2302.06975, (2023)Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations., , , , and . CoRR, (2018)Fair ranking: a critical review, challenges, and future directions., , , , , and . FAccT, page 1929-1942. ACM, (2022)Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly., , , and . CoRR, (2019)