Trump’s COVID-19 tweets and Dr. Fauci’s emails
Document Type
Journal Article
Publication Title
Scientometrics
Publisher
Springer
School
School of Business and Law
RAS ID
52384
Funders
Australian Research Council
Ministry of Science and Technology, Taiwan
Japan Society for the Promotion of Science
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.
DOI
10.1007/s11192-021-04243-z
Access Rights
free_to_read
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