2021
DOI: 10.1007/s41701-021-00113-4
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An Ideological Analysis of the Former President Donald Trump’s Tweets During COVID-19

Abstract: This study aimed to explore the former US President Donald Trump’s representation of “us” and “others” in his tweets related to COVID-19 and how he portrayed the representation of “us” and “others”. In this study, the sample related to COVID-19 which ranged from January to May 2020, consisted of the tweets posted by the former US President Donald Trump. To analyze the ideological discourse of the former President Donald Trump’s tweets during COVID-19, the ideological framework proposed by Van Dijk (Approaches … Show more

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Cited by 7 publications
(4 citation statements)
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References 30 publications
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“…Thus, when he realizes his party has a weakness, he manages to normalize it. Finally, this finding presents he would employ positive terms to describe his own party and negative terms to portray the opposing party instead (Luo et al, 2021;Rachman, A;Yunianti, 2017).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, when he realizes his party has a weakness, he manages to normalize it. Finally, this finding presents he would employ positive terms to describe his own party and negative terms to portray the opposing party instead (Luo et al, 2021;Rachman, A;Yunianti, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…The contexts include context of social campaign, presidency, and the election. First, Luo (2021) examines Donald J. Trump, the Former President's tweets. Trump seems embodied his message by his tweets that he posted on his Twitter.…”
Section: Introductionmentioning
confidence: 99%
“…Instead, the group of "other people" is described as a negative party. The two groups are portrayed through argumentation/authority, comparison, repetition, capitalization, and metaphors are strategies [12].…”
Section: Discourse Analysismentioning
confidence: 99%
“…Similarly, Wang et al (2021) discover the discourses on the political leaders’ Twitter accounts from “Five Eyes” nations 1 but use their tweets frequency and sentiment distribution using a lexicon-based algorithm with three traditional machine learning models: Bernoulli Naive Bayes model, linear Support Vector model, and logistic regression model. Luo et al (2022) and Muqsith et al (2021) focus on the tweets from former US President Donald Trump. Beyond the government leaders, Merkley et al (2020) evaluate the response to COVID-19 from Canadian political elites and the mass public, focusing on differences between the elite and public on COVID-19 issues using social media accounts of Federal Members of Parliament, Google trends, and public opinion surveys.…”
Section: Introductionmentioning
confidence: 99%