Big data would not lie: prediction of the 2016 Taiwan election via online heterogeneous information

Big data would not lie: prediction of the 2016 Taiwan election via online heterogeneous information

Abstract The prevalence of online media has attracted researchers from various domains to explore human behavior and make interesting predictions. In this research, we leverage heterogeneous data collected from various online platforms to predict Taiwan’s 2016 general election. In contrast to most e...

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Bibliographic Details
Main Authors: Zheng Xie, Guannan Liu, Junjie Wu, Yong Tan
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:EPJ Data Science
Subjects:
Election prediction
Heterogeneous data
Kalman filter
Event study method
Big data
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-018-0163-7

Internet

http://link.springer.com/article/10.1140/epjds/s13688-018-0163-7

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