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Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems.

, , and . WSDM, page 231-239. ACM, (2019)

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Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream., , , , and . ACM Trans. Web, 9 (3): 12:1-12:33 (2015)Toward Fair Recommendation in Two-sided Platforms., , , , and . ACM Trans. Web, 16 (2): 8:1-8:34 (2022)On Quantifying Knowledge Segregation in Society., , , , and . CoRR, (2017)iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making., , and . ICDE, page 1334-1345. IEEE, (2019)Exploiting Social Networks for Internet Search., , and . HotNets, ACM SIGCOMM, (2006)A measurement-driven analysis of information propagation in the flickr social network, , and . Proceedings of the 18th international conference on World wide web, page 721--730. New York, NY, USA, ACM, (2009)Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing., , and . Proc. ACM Hum. Comput. Interact., 3 (CSCW): 178:1-178:25 (2019)On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract)., , , , , and . ICDE, page 1541-1542. IEEE, (2022)Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction., , , and . WWW, page 903-912. ACM, (2018)Addressing the privacy management crisis in online social networks.. WWW (Companion Volume), page 841-842. International World Wide Web Conferences Steering Committee / ACM, (2013)