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

Author

Listed:
  • David E. Allen

    (University of Sydney
    Asia University
    Edith Cowan University)

  • Michael McAleer

    (Asia University
    University of Sydney Business School
    Yokohama National University
    Erasmus University Rotterdam)

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.

Suggested Citation

  • David E. Allen & Michael McAleer, 2018. "Fake news and indifference to scientific fact: President Trump’s confused tweets on global warming, climate change and weather," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 625-629, October.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2847-y
    DOI: 10.1007/s11192-018-2847-y
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    Cited by:

    1. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake News And Indifference To Truth: Dissecting Tweets And State Of The Union Addresses By Presidents Obama And Trump," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 180-203, December.
    2. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.
    4. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.
    5. Álvaro-Francisco Morote & María Hernández, 2022. "What Do School Children Know about Climate Change? A Social Sciences Approach," Social Sciences, MDPI, vol. 11(4), pages 1-17, April.
    6. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

    More about this item

    Keywords

    Sentiment analysis; Polarity; Climate change; Scientific verification; Weather;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • Z0 - Other Special Topics - - General

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