Public opinion by a poll process: model study and Bayesian view
Physics and Society
2018-05-23 v1 Statistical Mechanics
Abstract
We study the formation of public opinion in a poll process where the current score is open to public. The voters are assumed to vote probabilistically for or against their own preference considering the group opinion collected up to then in the score. The poll-score probability is found to follow the beta distribution in the large polls limit. We demonstrate that various poll results even contradictory to the population preference are possible with non-zero probability density and that such deviations are readily triggered by initial bias. It is mentioned that our poll model can be understood in the Bayesian viewpoint.
Keywords
Cite
@article{arxiv.1804.08433,
title = {Public opinion by a poll process: model study and Bayesian view},
author = {Hyun Keun Lee and Yong Woon Kim},
journal= {arXiv preprint arXiv:1804.08433},
year = {2018}
}
Comments
14 pages, 1 figure, to appear in J. Stat. Mech