Fake news and indifference to scientific fact: President Trump’s confused tweets on global warming, climate change and weather

David Allen and Michael McAleer

Scientometrics, 2018, vol. 117, issue 1, No 35, 625-629

Abstract: 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)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-018-2847-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Fake News and Indifference to Scientific Fact: President Trump's Confused Tweets on Global Warming, Climate Change and Weather (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2847-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-018-2847-y

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().