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Open AccessArticle

Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany

by David E. Allen 1,2,3 and Michael McAleer 2,4,5,6,7,8,*
1
Department of Finance, School of Mathematics and Statistics, University of Sydney, Sydney, NSW 2006, Australia
2
Department of Finance, College of Management, Asia University, Wufeng 41354, Taiwan
3
School of Business and Law, Edith Cowan University, Joondalup, WA 6027, Australia
4
Discipline of Business Analytics, University of Sydney Business School, NSW 2006, Australia
5
Econometric Institute, Erasmus School of Economics, Erasmus University, 3062 Rotterdam, The Netherlands
6
Department of Economic Analysis and ICAE, Complutense University of Madrid, 28040 Madrid, Spain
7
Department of Mathematics and Statistics, University of Canterbury, Christchurch 8041, New Zealand
8
Institute of Advanced Sciences, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(19), 5181; https://doi.org/10.3390/su11195181
Received: 18 May 2019 / Revised: 19 August 2019 / Accepted: 21 August 2019 / Published: 21 September 2019
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. We also apply Zipf and Mandelbrot’s power law to assess the degree to which they differ from common language patterns. 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 is Hitler’s relatively shorter address, which is characterised by a prevalence of negative emotions. Hitler’s speech deviates the most from common speech, but all three appear to target their audiences by use of non-complex speech. However, it should be said that the economic circumstances in contemporary America and Germany in the 1930s are vastly different. View Full-Text
Keywords: text mining; sentiment analysis; word cloud; emotional valence text mining; sentiment analysis; word cloud; emotional valence
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Allen, D.E.; McAleer, M. Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany. Sustainability 2019, 11, 5181.

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