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How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data., , , , , , , и . CIKM, стр. 4951-4954. ACM, (2022)Achieving Reliability in Master-Worker Computing via Evolutionary Dynamics., , , , и . Euro-Par, том 7484 из Lecture Notes in Computer Science, стр. 451-463. Springer, (2012)Brief announcement: achieving reliability in master-worker computing via evolutionary dynamics., , , , и . PODC, стр. 225-226. ACM, (2012)Reputation-Based Mechanisms for Evolutionary Master-Worker Computing., , , , и . OPODIS, том 8304 из Lecture Notes in Computer Science, стр. 98-113. Springer, (2013)Internet Computing: Using Reputation to Select Workers from a Pool., , , и . NETYS, том 9944 из Lecture Notes in Computer Science, стр. 137-153. Springer, (2016)Brief Announcement: Algorithmic Mechanisms for Internet-Based Computing under Unreliable Communication., , , и . DISC, том 6950 из Lecture Notes in Computer Science, стр. 147-149. Springer, (2011)It's About Time: A View of Crowdsourced Data Before and During the Pandemic., , и . CHI, стр. 649:1-649:14. ACM, (2021)Generative AI in Crowdwork for Web and Social Media Research: A Survey of Workers at Three Platforms., , и . ICWSM, стр. 2097-2103. AAAI Press, (2024)A Mechanism for Fair Distribution of Resources with Application to Sponsored Search., , и . CoRR, (2015)Evaluating reliability techniques in the master-worker paradigm., , , и . NCA, стр. 183-190. IEEE Computer Society, (2016)