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

David E. Allen; Michael McAleer

doi:10.1007/s11192-021-04243-z

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

David E. Allen^*
, Michael McAleer

^*Corresponding author for this work

Econometrics

The University of Sydney
Asia University Taiwan
Edith Cowan University

Research output: Contribution to journal › Article › Academic › peer-review

6 Citations (Scopus)

114 Downloads (Pure)

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.

Original language	English
Pages (from-to)	1643-1655
Number of pages	13
Journal	Scientometrics
Volume	127
Issue number	3
DOIs	https://doi.org/10.1007/s11192-021-04243-z
Publication status	Published - Mar 2022

Bibliographical note

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

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10.1007/s11192-021-04243-z

Allen-McAleer2022_Article_TrumpSCOVID-19TweetsAndDrFauciFinal published version, 1.06 MBLicence: Article 25fa Dutch Copyright Act

Cite this

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title = "Trump{\textquoteright}s COVID-19 tweets and Dr. Fauci{\textquoteright}s emails",

abstract = "The paper features an analysis of former President Trump{\textquoteright}s early tweets on COVID-19 in the context of Dr. Fauci{\textquoteright}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{\textquoteright}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.",

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doi = "10.1007/s11192-021-04243-z",

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AB - 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.

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

Abstract

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