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.

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doi.org/10.1007/s11192-018-2847-y, hdl.handle.net/1765/109518
Scientometrics: an international journal for all quantitative aspects of the science of science, communication in science and science policy
Department of Econometrics

Allen, D., & McAleer, M. (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