Information flow in political elections: a stochastic perspective

09/11/2020
by   Santosh Kumar Radha, et al.
0

Often times, a candidate's attractiveness is directly associated with his clear ideologies and opinions on various policies and social issues. Using the ideas of stochastic differential equations and Ornstein-Uhlenbeck Process, we develop a phenomenological model to understand the effect of (un)clearly communicating a candidate's stance on policies to the voting public. We will show that, counter intuitively, there are quantifiable advantages to be vague on one's stance.

READ FULL TEXT
research
11/01/2018

Issues in the software implementation of stochastic numerical Runge-Kutta

This paper discusses stochastic numerical methods of Runge-Kutta type wi...
research
03/17/2023

The Moderating Effect of Instant Runoff Voting

Instant runoff voting (IRV) has recently gained popularity as an alterna...
research
01/02/2023

Understanding Political Polarisation using Language Models: A dataset and method

Our paper aims to analyze political polarization in US political system ...
research
11/19/2015

Stochastic modified equations and adaptive stochastic gradient algorithms

We develop the method of stochastic modified equations (SME), in which s...
research
09/18/2023

Prominence Perceptions as a Heuristic in Contexts of Low Information

This study explores the concept of prominence as a candidate trait, unde...
research
07/08/2019

A Mathematical Analysis of an Election System Proposed by Gottlob Frege

We provide a mathematical analysis of an election system proposed by the...
research
11/28/2019

Manipulating Elections by Selecting Issues

Constructive election control considers the problem of an adversary who ...

Please sign up or login with your details

Forgot password? Click here to reset