Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues |
| |
Authors: | Eyal Baharad Jacob Goldberger Moshe Koppel Shmuel Nitzan |
| |
Affiliation: | 1.Department of Economics,University of Haifa,Haifa,Israel;2.School of Engineering,Bar Ilan University,Ramat Gan,Israel;3.Department of Computer Sciences,Bar Ilan University,Ramat Gan,Israel;4.Department of Economics,Bar Ilan University,Ramat Gan,Israel |
| |
Abstract: | Given the judgments of multiple voters regarding some issue, it is generally assumed that the best way to arrive at some collective
judgment is by following the majority. We consider here the now common case in which each voter expresses some (binary) judgment
regarding each of a multiplicity of independent issues and assume that each voter has some fixed (unknown) probability of
making a correct judgment for any given issue. We leverage the fact that multiple votes by each voter are known in order to
demonstrate, both analytically and empirically, that a method based on maximum likelihood estimation is superior to the simple
majority rule for arriving at true collective judgments. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|