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A major challenge in obtaining evaluations of products or services on e-commerce platforms is eliciting informative responses in the absence of verifiability.
Verification of forecasts expressed in terms of probability
Brier, G. W. (1950) · 1950
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Elicitation of personal probabilities and expectations
Savage, L. J. (1971) · 1971
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Exchangeability and related topics
Aldous, D. J. (1985) · 1983
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A general theory of equilibrium selection in games
Harsanyi, J. C., Selten, R., et al. (1988) · 1988
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Reputation systems
Resnick, P., Kuwabara, K., Zeckhauser, R., and Friedman, E. (2000) · 2000
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Strategic equilibrium
Van Damme, E. (2002) · 2002
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A Bayesian truth serum for subjective data
Prelec, D. (2004) · 2004
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Labeling images with a computer game
Von Ahn, L. and Dabbish, L. (2004) · 2004
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Enforcing truthful strategies in incentive compatible reputation mechanisms
Jurca, R. and Faltings, B. (2005) · 2005
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Eliciting informative feedback: The peer-prediction method
Miller, N., Resnick, P., and Zeckhauser, R. (2005) · 2005
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Strictly proper scoring rules, prediction, and estimation
Gneiting, T. and Raftery, A. E. (2007) · 2007
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A survey of trust and reputation systems for online service provision
Jøsang, A., Ismail, R., and Boyd, C. (2007) · 2007
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Incentives for expressing opinions in online polls
Jurca, R. and Faltings, B. (2008) · 2008
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Designing games with a purpose
Von Ahn, L. and Dabbish, L. (2008) · 2008
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Incentives for answering hypothetical questions
Jurca, R. and Faltings, B. (2011) · 2011
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Elements of Information Theory
Cover, T. and Thomas, J. (2012) · 2012
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A robust bayesian truth serum for small populations
Witkowski, J. and Parkes, D. C. (2012) · 2012
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Crowdsourced judgement elicitation with endogenous proficiency
Dasgupta, A. and Ghosh, A. (2013) · 2013
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Game theory
Myerson, R. B. (2013) · 2013
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A robust bayesian truth serum for non-binary signals
Radanovic, G. and Faltings, B. (2013) · 2013
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Learning the prior in minimal peer prediction
Peer truth serum: incentives for crowdsourcing measurements and opinions
Faltings, B., Jurca, R., and Radanovic, G. (2017) · 2017
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On self-selection biases in online product reviews
Hu, N., Pavlou, P. A., and Zhang, J. J. (2017) · 2017
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Designing online marketplaces: Trust and reputation mechanisms
Luca, M. (2017) · 2017
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Reputation inflation
Filippas, A., Horton, J. J., and Golden, J. (2018) · 2018
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Item recommendation on monotonic behavior chains
Wan, M. and McAuley, J. (2018) · 2018
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Incentivizing evaluation with peer prediction and limited access to ground truth
Gao, X. A., Wright, J. R., and Leyton-Brown, K. (2019) · 2019
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Witkowski, J. and Parkes, D. C. (2013) · 2013
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The limits of reputation in platform markets: An empirical analysis and field experiment
Nosko, C. and Tadelis, S. (2015) · 2015
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Incentives for subjective evaluations with private beliefs
Radanovic, G. and Faltings, B. (2015) · 2015
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Learning to incentivize: eliciting effort via output agreement
Liu, Y. and Chen, Y. (2016) · 2016
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Incentives for effort in crowdsourcing using the peer truth serum
Radanovic, G., Faltings, B., and Jurca, R. (2016) · 2016
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Informed truthfulness in multi-task peer prediction
Shnayder, V., Agarwal, A., Frongillo, R., and Parkes, D. C. (2016) · 2016
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An information theoretic framework for designing information elicitation mechanisms that reward truth-telling
Kong, Y. and Schoenebeck, G. (2019) · 2019
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Ni, J., Li, J., and McAuley, J. (2019) · 2019
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Fine-grained spoiler detection from large-scale review corpora
Wan, M., Misra, R., Nakashole, N., and McAuley, J. (2019) · 2019
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Dominantly truthful multi-task peer prediction with a constant number of tasks
Kong, Y. (2020) · 2020
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Buying reputation as a signal of quality: Evidence from an online marketplace
Li, L., Tadelis, S., and Zhou, X. (2020) · 2020
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Two strongly truthful mechanisms for three heterogeneous agents answering one question
Schoenebeck, G. and Yu, F.-Y. (2020) · 2020
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Learning and strongly truthful multi-task peer prediction: A variational approach
Schoenebeck, G. and Yu, F.-Y. (2021) · 2021
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