A solution to the single-question crowd wisdom problem

Citations

Cited by:

1. Radu Tanase & Claudio J Tessone & René Algesheimer, 2018. "Identification of influencers through the wisdom of crowds," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-15, July.
2. Huang, He & Chen, Yahong & Ma, Yefeng, 2021. "Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading," Applied Mathematics and Computation, Elsevier, vol. 388(C).
3. Tom Wilkening & Marcellin Martinie & Piers D. L. Howe, 2022. "Hidden Experts in the Crowd: Using Meta-Predictions to Leverage Expertise in Single-Question Prediction Problems," Management Science, INFORMS, vol. 68(1), pages 487-508, January.
4. Michael D. Lee & Megan N. Lee, 2017. "The relationship between crowd majority and accuracy for binary decisions," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(4), pages 328-343, July.
5. Yuqing Kong, 2019. "Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks," Papers 1911.00272, arXiv.org.
6. Zhou, Fan & Page, Lionel & Perrons, Robert K. & Zheng, Zuduo & Washington, Simon, 2019. "Long-term forecasts for energy commodities price: What the experts think," Energy Economics, Elsevier, vol. 84(C).
7. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
8. Michael D. Lee & Irina Danileiko & Julie Vi, 2018. "Testing the ability of the surprisingly popular method to predict NFL games," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(4), pages 322-333, July.
9. Funk, Patrick & Davis, Alex & Vaishnav, Parth & Dewitt, Barry & Fuchs, Erica, 2020. "Individual inconsistency and aggregate rationality: Overcoming inconsistencies in expert judgment at the technical frontier," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
10. Yi-Chun Chen & Manuel Mueller-Frank & Mallesh M Pai, 2021. "The Wisdom of the Crowd and Higher-Order Beliefs," Papers 2102.02666, arXiv.org, revised Nov 2021.
11. Ami, Dominique & Aprahamian, Frédéric & Chanel, Olivier & Luchini, Stéphane, 2018. "When do social cues and scientific information affect stated preferences? Insights from an experiment on air pollution," Journal of choice modelling, Elsevier, vol. 29(C), pages 33-46.
    • Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stephane Luchini, 2018. "When do social cues and scientific information affect stated preferences? Insights from an experiment on air pollution," Post-Print hal-01897065, HAL.
12. Jaspersen, Johannes G., 2022. "Convex combinations in judgment aggregation," European Journal of Operational Research, Elsevier, vol. 299(2), pages 780-794.
13. Nir Billfeld & Moshe Kim, 2019. "Semiparametric correction for endogenous truncation bias with Vox Populi based participation decision," Papers 1902.06286, arXiv.org.
14. Bergemann, Dirk & Ottaviani, Marco, 2021. "Information Markets and Nonmarkets," CEPR Discussion Papers 16459, C.E.P.R. Discussion Papers.
    • Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.
15. Sonja Radas & Dražen Prelec, 2021. "Predicted preference conjoint analysis," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-16, August.
16. Yuqing Kong, 2021. "Information Elicitation Meets Clustering," Papers 2110.00952, arXiv.org.
17. Satopää, Ville A., 2021. "Improving the wisdom of crowds with analysis of variance of predictions of related outcomes," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1728-1747.
18. J. Aislinn Bohren & Daniel N. Hauser, 2023. "Behavioral Foundations of Model Misspecification," PIER Working Paper Archive 23-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
19. Asa B. Palley & Jack B. Soll, 2019. "Extracting the Wisdom of Crowds When Information Is Shared," Management Science, INFORMS, vol. 67(5), pages 2291-2309, May.
20. repec:cup:judgdm:v:13:y:2018:i:4:p:322-333 is not listed on IDEAS
21. repec:cup:judgdm:v:12:y:2017:i:4:p:328-343 is not listed on IDEAS
22. Cem Peker, 2023. "Extracting the collective wisdom in probabilistic judgments," Theory and Decision, Springer, vol. 94(3), pages 467-501, April.
23. Shane Greenstein & Grace Gu & Feng Zhu, 2021. "Ideology and Composition Among an Online Crowd: Evidence from Wikipedians," Management Science, INFORMS, vol. 67(5), pages 3067-3086, May.
24. Arieli, Itai & Babichenko, Yakov & Smorodinsky, Rann, 2020. "Identifiable information structures," Games and Economic Behavior, Elsevier, vol. 120(C), pages 16-27.
25. Itsuki Fujisaki & Hidehito Honda & Kazuhiro Ueda, 2018. "Diversity of inference strategies can enhance the ‘wisdom-of-crowds’ effect," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.
26. Qian Zhu & Yongqing Li & Zhen Zhang, 2023. "Swarm Robots Search for Multiple Targets Based on Historical Optimal Weighting Grey Wolf Optimization," Mathematics, MDPI, vol. 11(12), pages 1-19, June.
27. Ville A. Satopää & Marat Salikhov & Philip E. Tetlock & Barbara Mellers, 2021. "Bias, Information, Noise: The BIN Model of Forecasting," Management Science, INFORMS, vol. 67(12), pages 7599-7618, December.
28. Sonja Radas & Drazen Prelec, 2019. "Whose data can we trust: How meta-predictions can be used to uncover credible respondents in survey data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
29. Liu, Fang & Chen, Ya-Ru & Zhou, Da-Hai, 2023. "A two-dimensional approach to flexibility degree of XOR numbers with application to group decision making," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 267-287.
30. Jon Atwell & Marlon Twyman II, 2023. "Metawisdom of the Crowd: How Choice Within Aided Decision Making Can Make Crowd Wisdom Robust," Papers 2308.15451, arXiv.org.