Political Dimensionality Estimation Using a Probabilistic Graphical Model
Abstract
This paper attempts to move beyond the left-right characterization of political ideologies. We propose a trait based probabilistic model for estimating the manifold of political opinion. We demonstrate the efficacy of our model on two novel and large scale datasets of public opinion. Our experiments show that although the political spectrum is richer than a simple left-right structure, peoples' opinions on seemingly unrelated political issues are very correlated, so fewer than 10 dimensions are enough to represent peoples' entire political opinion.
Cite
Text
Lewenberg et al. "Political Dimensionality Estimation Using a Probabilistic Graphical Model." Conference on Uncertainty in Artificial Intelligence, 2016.Markdown
[Lewenberg et al. "Political Dimensionality Estimation Using a Probabilistic Graphical Model." Conference on Uncertainty in Artificial Intelligence, 2016.](https://mlanthology.org/uai/2016/lewenberg2016uai-political/)BibTeX
@inproceedings{lewenberg2016uai-political,
title = {{Political Dimensionality Estimation Using a Probabilistic Graphical Model}},
author = {Lewenberg, Yoad and Bachrach, Yoram and Bordeaux, Lucas and Kohli, Pushmeet},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2016},
url = {https://mlanthology.org/uai/2016/lewenberg2016uai-political/}
}