Fake News and Indifference to Scientific Fact: President Trump's Confused Tweets on Global Warming, Climate Change and Weather

David Allen, Michael McAleer and David McHardy Reid
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David McHardy Reid: Albers School of Business and Economics, Seattle University, Washington, USA.

No 2018-17, Documentos de Trabajo del ICAE from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico

Abstract: 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. 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 Verification; Weather. (search for similar items in EconPapers)
JEL-codes: A1 C44 C88 Z0 (search for similar items in EconPapers)
Pages: 8 pages
Date: 2018-05
New Economics Papers: this item is included in nep-ene, nep-env and nep-sea
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Related works:
Journal Article: Fake news and indifference to scientific fact: President Trump’s confused tweets on global warming, climate change and weather (2018)
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