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

Detalhes bibliográficos
Autor(a) principal: Masella, Vanessa Assunta
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/75620
Resumo: The 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.
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spelling An analysis of Donald Trump´s strategies in the 2016 electionsDonald TrumpCritical Discourse AnalysisTwitterUS 2016 ElectionsArgumentationEmotive wordsDomínio/Área Científica::Ciências Sociais::Ciências da ComunicaçãoThe 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.Macagno, FabrizioRUNMasella, Vanessa Assunta2019-07-16T14:49:40Z2019-05-292019-04-012019-05-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/75620TID:202251373enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:34:36Zoai:run.unl.pt:10362/75620Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:33.077529Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An analysis of Donald Trump´s strategies in the 2016 elections
title An analysis of Donald Trump´s strategies in the 2016 elections
spellingShingle An analysis of Donald Trump´s strategies in the 2016 elections
Masella, Vanessa Assunta
Donald Trump
Critical Discourse Analysis
Twitter
US 2016 Elections
Argumentation
Emotive words
Domínio/Área Científica::Ciências Sociais::Ciências da Comunicação
title_short An analysis of Donald Trump´s strategies in the 2016 elections
title_full An analysis of Donald Trump´s strategies in the 2016 elections
title_fullStr An analysis of Donald Trump´s strategies in the 2016 elections
title_full_unstemmed An analysis of Donald Trump´s strategies in the 2016 elections
title_sort An analysis of Donald Trump´s strategies in the 2016 elections
author Masella, Vanessa Assunta
author_facet Masella, Vanessa Assunta
author_role author
dc.contributor.none.fl_str_mv Macagno, Fabrizio
RUN
dc.contributor.author.fl_str_mv Masella, Vanessa Assunta
dc.subject.por.fl_str_mv Donald Trump
Critical Discourse Analysis
Twitter
US 2016 Elections
Argumentation
Emotive words
Domínio/Área Científica::Ciências Sociais::Ciências da Comunicação
topic Donald Trump
Critical Discourse Analysis
Twitter
US 2016 Elections
Argumentation
Emotive words
Domínio/Área Científica::Ciências Sociais::Ciências da Comunicação
description The 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-16T14:49:40Z
2019-05-29
2019-04-01
2019-05-29T00:00:00Z
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TID:202251373
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