Swissnoise: Online polls with game-theoretic incentives

Proceedings of the National Conference on Artificial Intelligence

Volumn 4, Issue , 2014, Pages 2972-2977

  Garcin, Florent ^a   Faltings, Boi ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

GAME-THEORETIC;

EID: 84908163073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Chen, Y., and Pennock, D. 2010. Designing markets for prediction. AI Magazine 31 (4):42-52.
2. Dudik, M.; Lahaie, S.; Pennock, D. M.; and Rothschild, D. 2013. A combinatorial prediction market for the us elec-tions. In Conference on Electronic Commerce, 341-358.
3. Garcin, F.; Faltings, B.; and Xia, L. 2013. How aggrega-tors influence human rater behavior? In Workshop on Social Computing and User Generated Content.
4. Hanson, R. 2003. Combinatorial information market design. Information Systems Frontiers 5(1):107-119.
5. Hanson, R. 2007. Logarithmic market scoring rules for modular combinatorial information aggregation. Journal of Prediction Markets 1(1):3-15.
6. Hu, N.; Pavlou, P. A.; and Zhang, J. 2006. Can online reviews reveal a product's true quality?: empirical findings and analytical modeling of online word-of-mouth communication. In Conference on Electronic Commerce, 324-330.
7. Jurca, R., and Faltings, B. 2006. Using chi-scores to reward honest feedback from repeated interactions. In Conference on Autonomous Agents and Multiagent Systems, 1233-1240.
8. Jurca, R., and Faltings, B. 2009. Mechanisms for making crowds truthful. Journal of AI Research 34(1):209.
9. Jurca, R.; Garcin, F.; Talwar, A.; and Faltings, B. 2010. Reporting incentives and biases in online review forums. Transactions on the Web 4(2): 1-27.
10. Lambert, N and Shoham, Y. 2009. Eliciting truthful answers to multiple-choice questions. In Conference on Electronic Commerce, 109-118.
11. Miller, N.; Resnick, P.; and Zeckhauser, R. 2005. Eliciting informative feedback: The peer-prediction method. Management Science 51(9):1359-1373.
12. Prelec, D. 2004. A bayesian truth serum for subjective data. Science 306(5695):462-466.
13. Radanovic, G., and Faltings, B. 2013. A robust bayesian truth serum for non-binary signals. In AAAI Conf. on Artificial Intelligence.
14. Savage, L. 1971. Elicitation of personal probabilities and expectations. Journal of the American Statistical Association 66(336):783-801.
15. Witkowski, J., and Parkes, D. 2012a. Peer prediction without a common prior. In Conference on Electronic Commerce, 964-981.
16. Witkowski, J., and Parkes, D. 2012b. A robust bayesian truth serum for small populations. In AAAI Conf. on Artificial Intelligence.
17. Zohar, A., and Rosenschein, J. 2006. Robust mechanisms for information elicitation. In Conference on Autonomous Agents and Multiagent Systems, 1202-1204.