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And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions.

, , , and . CSCW, page 628-638. ACM, (2015)

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Human Computation Must Be Reproducible.. CrowdSearch, volume 842 of CEUR Workshop Proceedings, page 20-25. CEUR-WS.org, (2012)Connecting Collaborative & Crowd Work with Online Education., , , , , , , , and . CSCW Companion, page 313-318. ACM, (2015)Learning Paraphrase Identification with Structural Alignment., , , and . IJCAI, page 2859-2865. IJCAI/AAAI Press, (2016)The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling?, , , , , and . AI Mag., 41 (4): 123-126 (2020)Data Excellence for AI: Why Should You Care., , , and . CoRR, (2021)The Missing Science of Knowledge Curation: Improving Incentives for Large-scale Knowledge Curation.. WWW (Companion Volume), page 1105-1106. ACM, (2018)Analysis of Strategic Knowledge in Back of the Envelope Reasoning., and . AAAI, page 651-656. AAAI Press / The MIT Press, (2005)Inserting Micro-Breaks into Crowdsourcing Workflows., , , and . HCOMP (Works in Progress / Demos), volume WS-13-18 of AAAI Technical Report, AAAI, (2013)Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities., , , , , , , , and . CoRR, (2023)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , and 28 other author(s). CoRR, (2023)