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In crowdsourcing when there is a lack of verification for contributed answers, output agreement mechanisms are often used to incentivize participants to provide truthful answers when the correct answer is hold by the majority.
A bayesian truth serum for subjective data
Dražen Prelec · 2004
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Labeling images with a computer game
Luis von Ahn and Laura Dabbish · 2004
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Eliciting informative feedback: The peer-prediction method
Nolan Miller, Paul Resnick, and Richard Zeckhauser · 2005
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Minimum payments that reward honest reputation feedback
R. Jurca and B. Faltings · 2006
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Get another label? improving data quality and data mining using multiple, noisy labelers
Victor S Sheng, Foster Provost, and Panagiotis G Ipeirotis · 2008
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Designing games with a purpose
Luis von Ahn and Laura Dabbish · 2008
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Mechanisms for making crowds truthful
R. Jurca and B. Faltings · 2009
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Iterative learning for reliable crowdsourcing systems
David R Karger, Sewoong Oh, and Devavrat Shah · 2011
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Conducting truthful surveys, cheaply
Aaron Roth and Grant Schoenebeck · 2012
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A robust bayesian truth serum for small populations
J. Witkowski and D. Parkes · 2012
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Peer prediction without a common prior
J. Witkowski and D.C. Parkes · 2012
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Crowdsourced judgement elicitation with endogenous proficiency
Anirban Dasgupta and Arpita Ghosh · 2013
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Efficient crowdsourcing for multi-class labeling
David R Karger, Sewoong Oh, and Devavrat Shah · 2013
Cited alongside, same era.
A robust bayesian truth serum for non-binary signals
G. Radanovic and B. Faltings · 2013
Cited alongside, same era.
Output agreement mechanisms and common knowledge
Bo Waggoner and Yiling Chen · 2014
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Actively purchasing data for learning
Jacob Abernethy, Yiling Chen, Chien-Ju Ho, and Bo Waggoner · 2015
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Elicitation for Aggregation
Rafael M. Frongillo, Yiling Chen, and Ian A. Kash · 2015
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Incentivizing high quality crowdwork
Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, and Jennifer Wortman Vaughan · 2015
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An online learning approach to improving the quality of crowd-sourcing
Yang Liu and Mingyan Liu · 2015
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Bonus or Not? Learn to Reward in Crowdsourcing
Ming Yin and Yiling Chen · 2015
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Jens Witkowski, Yoram Bachrach, Peter Key, and David C. Parkes · 2013
Cited alongside, same era.
Informed Truthfulness in Multi-Task Peer Prediction
V. Shnayder, A. Agarwal, R. Frongillo, and D. C. Parkes · 2016
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