News articles of varying degrees of truthfulness and political alignment, and their influences on the political opinions of the media consumers are modeled as a Bayesian network incorporating a mixture of ideas from dual-reasoning models of Motivated Reasoning and Analytic/Intuitive Reasoning. The result shows that as the media environment moves towards the Post-Truth world, the problem of political polarization becomes exacerbated.
@article{arxiv.1906.06531,
title = {Media Environment, Dual Process and Polarization: A Computational Approach},
author = {In-Ho Yi},
journal= {arXiv preprint arXiv:1906.06531},
year = {2019}
}