Trump’s COVID-19 tweets and Dr. Fauci’s emails

Authors/Creators

David E. Allen, Edith Cowan UniversityFollow
Michael McAleer

Abstract

The paper features an analysis of former President Trump’s early tweets on COVID-19 in the context of Dr. Fauci’s recently revealed email trove. The tweets are analysed using various data mining techniques, including sentiment analysis. These techniques facilitate exploration of content and sentiments within the texts, and their potential implications for the national and international reaction to COVID-19. The data set or corpus includes 159 tweets on COVID-19 that are sourced from the Trump Twitter Archive, running from 24 January 2020 to 2 April 2020. In addition we use Zipf and Mandelbrot’s power law to calibrate the extent to which they differ from normal language patterns. A context for the emails is provided by the recently revealed email trove of Dr. Fauci, obtained by Buzzfeed on 1 June 2021 obtained under the Freedom of Information Act.

RAS ID

52384

Document Type

Journal Article

Date of Publication

1-1-2022

Funding Information

Australian Research Council

Ministry of Science and Technology, Taiwan

Japan Society for the Promotion of Science

School

School of Business and Law

Copyright

free_to_read

Publisher

Springer

Comments

Allen, D. E., & McAleer, M. (2022). Trump’s COVID-19 tweets and Dr. Fauci’s emails. Scientometrics, 127, 1643-1655.

https://doi.org/10.1007/s11192-021-04243-z

Recommended Citation

Allen, D. E., & McAleer, M. (2022). Trump’s COVID-19 tweets and Dr. Fauci’s emails. DOI: https://doi.org/10.1007/s11192-021-04243-z