@inproceedings{277535ad01d749e69aefa5f1863d8ba7,
title = "Exploring Bias in the US Electoral College System via Big-Data Simulation",
abstract = "The United States is unique among world democracies. It is the only country where a democratically elected leader is elected indirectly through a mechanism known as the Electoral College. Although the system has resulted in only five instances in 228 years where the loser of the popular vote has ultimately won the presidency through the Electoral College, this has happened twice in the last five elections. Still the perception among most Americans is that while the system may be arcane and unnecessary, it probably benefits both parties equally. This paper shows the results from running twelve million election simulations under various assumptions and shows that currently the Electoral College is biased heavily in favor of Republican candidates.",
author = "Anthony Breitzman",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Big Data, Big Data 2018 ; Conference date: 10-12-2018 Through 13-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/BigData.2018.8622500",
language = "English (US)",
series = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4304--4312",
editor = "Naoki Abe and Huan Liu and Calton Pu and Xiaohua Hu and Nesreen Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu and Kisung Lee and Jiliang Tang and Jingrui He and Jeffrey Saltz",
booktitle = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",
address = "United States",
}