‘Going negative’: An APPRAISAL analysis of the rhetoric of Donald Trump on Twitter

Ross, Andrew S.; Caldwell, David

doi:10.1016/j.langcom.2019.09.003

Cited by 74 publications

(62 citation statements)

References 19 publications

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“…Donald Trump has been accused of attacking his opponents on Twitter [13]. He is specifically known to employ negativity as rhetoric political strategy [23]. We observe a somewhat similar approach with respect to China, where he tries to employ a deprofessionalized and amateurish style in his Twitter communication to appear authentic [11].…”

Section: Discussionmentioning

confidence: 68%

Tweeting During the Covid-19 Pandemic

Yaqub

2020

Digit. Gov.: Res. Pract.

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In this article, we utilize VADER, a rule-based model, to perform sentiment analysis of tweets by President Donald Trump during the early spread of the Covid-19 pandemic across the United States, making it the worst-hit country in the world. We discover a statistically significant negative correlation between the sentiment of his messages and the number of Covid-19 cases in the United States, indicating an effect on the tone of his tweets as the pandemic took its toll on American lives and economy. Furthermore, we also witness a gradual shift from positive to negative sentiment in his messages mentioning China and coronavirus together.

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Section: Discussionmentioning

confidence: 68%

Tweeting During the Covid-19 Pandemic

Yaqub

2020

Digit. Gov.: Res. Pract.

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“…Unlike heteroglossic text, monoglossic text includes bare assertions and the author's viewpoints of a proposition. Similalry, Ross, and Caldwell (2020) employed the SFL-based Appraisal framework to investigate the interpersonal language resources (attitude, engagement, & graduation) Trump employed in his tweets. The findings indicated that "Crooked [judgement ^ veracity] Hillary Clinton" ranked most highly.…”

Section: Review Of Related Studiesmentioning

confidence: 99%

Investigating Thematic Choices in Trump’s Tweets on the US-Mexico Wall: Political Discourse on Social Media

Alyousef¹,

Alotaibi²

2020

SJKFU

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Trump declared his intention to build a wall along the U.S.-Mexico border during his presidential campaign in 2016. On 4 January 2019, President Trump sent a letter to members of the U.S. Congress on the need to build a long wall to secure the U.S. border. This led local news reporters to discuss this political issue and its effects on the American and Mexican populations. Since Trump's decision of building the wall is one of the global issues that have been widely discussed in social media and American media news agencies, it is pertinent to analyze thematic choices in Trump's tweets on the U.S.-Mexico border wall issue. The present study aims to investigate Trump's thematic choices, employing Halliday's systemic functional linguistics' approach. UAM Corpus Tool software was employed in the annotation of Theme types. The results of the study showed that topical Theme was the most frequent Theme type in Trumps' tweets, followed by the textual Theme. Interpersonal Theme was rarely employed. Trump tends to use a simple, direct, and spontaneous language to make the communication style with his audience more natural and less complex. The study contributes to our understanding of Theme types in political discourse on social media. ‫اليوسف‬ ‫سليمان‬ ‫هشام‬ ‫العتيبي‬ ‫عماد‬ ‫نجد‬ ‫و‬ (. 2020 .) ‫حول‬ ‫ترامب‬ ‫دونالد‬ ‫تغريدات‬ ‫في‬ ‫املبتدأ‬ ‫أنواع‬ ‫دراسة‬ ‫االجتماعي.‬ ‫التواصل‬ ‫وسائل‬ ‫في‬ ‫ي‬ ‫السياس‬ ‫الخطاب‬ ‫املكسيك:‬ ‫مع‬ ‫الحدودي‬ ‫الجدار‬ ‫واإلدارية،‬ ‫اإلنسانية‬ ‫العلوم‬ ‫فرع‬ ‫فيصل،‬ ‫امللك‬ ‫لجامعة‬ ‫العلمية‬ ‫املجلة‬ (‫املجلد‬ ‫إلكتروني‬ ‫نشر‬ (‫العدد‬ ،) ‫إلكتروني‬ ‫نشر‬

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“…Appraisal System, which explores the -interpersonal metafunction‖ Halliday and Matthiessen (2014) of language, is an important development of Halliday's Systemic Functional Linguistics (SFL). It is a useful tool for discourse analysis of various genres, including official statements or reports (Huan, 2016a;Li and Xu, 2018;Smith and Adendorff, 2014;Swain, 2012;Vertommen et al, 2012) and comparatively more personal texts such as Trump's tweets (Ross and Caldwell, 2020), personal emails (Ho, 2014), online hotel reviews (Tian, 2013), academic thesis (Geng and Wharton, 2019) and doctors' discourse (Gallardo and Ferrari, 2010). The present study, endeavoring to analyze news discourse, will also adopt Appraisal System as the analytical framework.…”

Section: Literature Reviewmentioning

confidence: 99%

From Confrontation to Collaboration: Attitudinal Changes of Trish Regan on US-China Trade War in Commentaries and Debate

Weichao¹,

Zhang²

2020

ELLR

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In her cross-border debate with Chinese anchor Liu Xin, Trish Regan, an American anchor, behaved differently than what she had done in her previous commentaries. This paper explores the attitudinal differences evinced by Trish Regan on different occasions from a linguistic perspective. Based on the Appraisal System, especially the Attitude subsystem (Martin and White, 2005), this paper examines the attitudinal resources utilized by Trish Regan in her two news commentaries and her online debate with her counterpart Liu Xin—a set of texts which provides a longitudinal account of how Trish has changed her attitude. By annotating the attitude resources used by Trish, positive and negative evaluations are expected to be clarified, with detailed analyses of subsystems in the Attitude System to be given. The results suggest that Trish’s attitude towards China has changed a lot in her commentaries and the debate with Liu Xin—from negative to partly positive. It also appears that Trish maintained a positive attitude towards the United States while she changed her positive attitude towards the trade war into a negative one in her debate with Liu Xin.

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‘Going negative’: An APPRAISAL analysis of the rhetoric of Donald Trump on Twitter

Cited by 74 publications

References 19 publications

Tweeting During the Covid-19 Pandemic

Tweeting During the Covid-19 Pandemic

Investigating Thematic Choices in Trump’s Tweets on the US-Mexico Wall: Political Discourse on Social Media

From Confrontation to Collaboration: Attitudinal Changes of Trish Regan on US-China Trade War in Commentaries and Debate

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