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 Climate change, Polarity, Scientific verification, Sentiment analysis, 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 dx.doi.org/10.1007/s11192-018-2847-y, hdl.handle.net/1765/109518
Journal Scientometrics: an international journal for all quantitative aspects of the science of science, communication in science and science policy
Citation
Allen, D.E, & McAleer, M.J. (2018). Fake news and indifference to scientific fact: President Trump’s confused tweets on global warming, climate change and weather. Scientometrics: an international journal for all quantitative aspects of the science of science, communication in science and science policy, 1–5. doi:10.1007/s11192-018-2847-y