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An analysis of Donald Trump´s strategies in the 2016 elections

datacite.subject.fosCiências Sociais::Ciências da Comunicaçãopt_PT
dc.contributor.advisorMacagno, Fabrizio
dc.contributor.authorMasella, Vanessa Assunta
dc.date.accessioned2019-07-16T14:49:40Z
dc.date.available2019-07-16T14:49:40Z
dc.date.issued2019-05-29
dc.date.submitted2019-04-01
dc.description.abstractThe micro-blogging platform Twitter, besides serving as a personal content sharing platform, has become an instrumental tool of political propaganda in the last few years. This dissertation aims at constructing a linguistic profile of Donald Trump, 45th President of the United States of America, based on the argumentation theory framework to identify linguistic factors and strategies used in Donald Trump’s social media communication and assess how they effectively appealed to the public’s emotions and influenced the electors’ vote in 2016. The study was carried out on a corpus of tweets, which was analyzed in terms of the nature and quality of the arguments used, fallacies committed, and most frequently used and manipulated emotive words. A quantitative analysis is performed for identifying the most common argumentative and manipulative strategies, which are described in detail through a qualitative analysis. The combination of these methods can show and assess how Trump manipulated language to successfully exert an influence on American citizens and direct their interests and attitudes.pt_PT
dc.identifier.tid202251373pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/75620
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDonald Trumppt_PT
dc.subjectCritical Discourse Analysispt_PT
dc.subjectTwitterpt_PT
dc.subjectUS 2016 Electionspt_PT
dc.subjectArgumentationpt_PT
dc.subjectEmotive wordspt_PT
dc.titleAn analysis of Donald Trump´s strategies in the 2016 electionspt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameCiências da Comunicaçãopt_PT

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