Template-type: ReDIF-Paper 1.0
Author-Name: David E. Allen
Author-Workplace-Name: School of Mathematics and Statistics, University of Sydney, Department of Finance, Asia University, Taiwan, and School of Business and Law,
	Edith Cowan University, Australia.
Author-Name:
 Michael McAleer
Author-Workplace-Name:
 Department of Quantitative Finance National Tsing Hua University, Taiwan and Econometric Institute Erasmus School of 
	Economics Erasmus University Rotterdam, The Netherlands and Department of Quantitative Economics Complutense University of 
	Madrid, Spain And Institute of Advanced Sciences Yokohama National University, Japan.
Title: Fake news and propaganda: Trump's Democratic America and Hitler's National Socialist (Nazi) Germany
Abstract: This paper features an analysis of President Trump's two State of the Union addresses, which are analysed by means of various data mining techniques 
	including sentiment analysis. The intention is to explore the contents and sentiments of the messages contained, the degree to which they differ, and 
	their potential implications for the national mood and state of the economy. In order to provide a contrast and some parallel context, analyses are also 
	undertaken of President Obama's last State of the Union address and Hitler's 1933 Berlin Proclamation. The structure of these four political addresses is 
	remarkably similar. The three US Presidential speeches are more positive emotionally than Hitler's relatively shorter address, which is characterized by a 
	prevalence of negative emotions. However, it should be said that the economic circumstances in contemporary America and Germany in the 1930s are vastly 
	different.
Classification-JEL: C19, C65, D79.
Keywords: Text Mining, Sentiment Analysis, Word Cloud, Emotional Valence.
Length: 22 pages 
Creation-Date: 2019-03
Number: 2019-16
X-File-Ref: http://america.sim.ucm.es/repec/ucm/ref/doicae1916.txt
File-URL: https://eprints.ucm.es/id/eprint/54808/1/1916.pdf
File-Format: Application/pdf
Handle: RePEc:ucm:doicae:1916