A set of 115 tweets on climate change by President Trump, from 2011 to 2015, are analysed by means of the data mining technique, sentiment analysis
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Instituto
Complutense
de AnálisisEconómico
Fake News and Indifference to Scientific Fact:
President Trump's Confused Tweets on Global
Warming, Climate Change and Weather
David E. Allen
School of Mathematics and Statistics, University of Sydney, Australia, Department of Finance, Asia University, Taiwan, and School of Business and Law, Edith CowanUniversity, Western Australia
Michael McAleer
Department of Finance, Asia University, Taiwan, Discipline of Business Analytic s, University of Sydney Business School, Australia, Institute of Advance Studies, Yokohama National University, Japan, and Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, The Netherlands, and Department of Economic Analysis and ICAE, Complutense University of Madrid, SpainDavid McHardy Reid
Albers School of Business and Economics, Seattle University, Washington, USAAbstract
A set of 115 tweets on climate change by President Trump, from 2011 to 2015, are analysedby means of the data mining technique, sentiment analysis. The intention is to explore the contents and sentiments of the messages contained the degree to which they differ, and their
implications about his understanding of climate change. The results suggest a predominantly negative emotion in relation to tweets on climate change, but they appear to lack a clear logical framework, and confuse short term variations in localised weather with long term global average climate change. Keywords Sentiment Analysis, Polarity, Climate Change, Scientific