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.

Additional Metadata
Keywords Sentiment Analysis, Polarity, Climate Change, Scientific Verification, Weather
JEL General Economics (jel A1), Other Computer Software (jel C88), Statistical Decision Theory; Operations Research (jel C44), Other Special Topics: General (jel Z0)
Persistent URL hdl.handle.net/1765/107293
Series Econometric Institute Research Papers , Tinbergen Institute Discussion Paper Series
Allen, D.E, & McAleer, M.J. (2018). Fake News and Indifference to Scientific Fact. Tinbergen Institute Discussion Paper Series. Retrieved from http://hdl.handle.net/1765/107293