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A Survey on Challenges for Entity Retrieval in Web Markup Data, , , and . ISWC P&D, (October 2016)Understanding and Mitigating Worker Biases in Crowdsourced Collection of Subjective Judgments, , and . Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom May 4-9, 2019, (2019)Just the Right Mood for HIT! - Analyzing the Role of Worker Moods in Conversational Microtask Crowdsourcing., , and . ICWE, volume 12128 of Lecture Notes in Computer Science, page 381-396. Springer, (2020)Understanding User Perceptions of Response Delays in Crowd-Powered Conversational Systems., , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW2): 1-42 (2022)Topic-independent modeling of user knowledge in informational search sessions., , , , and . Inf. Retr. J., 24 (3): 240-268 (2021)How Do User Opinions Influence Their Interaction With Web Search Results?, , and . UMAP, page 240-244. ACM, (2021)Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment., , , and . IUI, page 737-749. ACM, (2023)For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems., , , , and . CHI, page 113:1-113:18. ACM, (2022)Goal-Setting Behavior of Workers on Crowdsourcing Platforms: An Exploratory Study on MTurk and Prolific., and . HCOMP, page 2-13. AAAI Press, (2022)In What Mood Are You Today?: An Analysis of Crowd Workers' Mood, Performance and Engagement., and . WebSci, page 373-382. ACM, (2019)