Detalhes bibliográficos
| Ano de defesa: |
2020 |
| Autor(a) principal: |
Cury, Fernando Augusto
 |
| Orientador(a): |
Hoff, Tânia Márcia Cézar |
| Banca de defesa: |
Peres-Neto, Luiz,
Barreto Filho, Eneus Trindade |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Escola Superior de Propaganda e Marketing
|
| Programa de Pós-Graduação: |
Programa de Mestrado em Comunicação e Práticas de Consumo
|
| Departamento: |
ESPM::Pós-Graduação Stricto Sensu
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://tede2.espm.br/handle/tede/497
|
Resumo: |
We approached the production of truth in Twitter posts over the electoral campaigns of the two primary candidates for the 2018 presidential elections in Brazil. Regarding the corpus for analysis, we limited our attention to Twitter publications based on statements by four political subjects: the official profiles of Jair Bolsonaro, Fernando Haddad, users who mentioned Bolsonaro, and users who mentioned Haddad between August 16 and October 26, 2018. The research problem arose from questioning how the digital manifestations of political actors - profiles officers of the two leading candidates, and voters engaged in political conversations with both of them - produced meaning over the 70 days of the electoral campaign period. As for the theoretical framework, we start from Foucault's discourse and truth production theories, from Sodré's sensitive network and Mouffe and Laclau's concepts of hegemony and populism.Regarding the methodology, we used two procedures, one quantitative and the other qualitative. In the quantitative stage, we defined as objective to identify the variance of the degrees of positive and negative feelings of the four social actors mentioned, considering the comparison between the publications before and after the stab (n = 10,141). For the sentiment analysis, the LIWC software was used. In the qualitative stage, we proceeded with discourse analysis. The method gave us conditions to observe the most repeated utterances with a higher degree of feelings. Therefore, defining the main themes exposed. As for the results achieved, the four political subjects analyzed showed a variance of feelings in the publications after the stab (p<0.2). We identified 11 central themes addressed in the statements with the highest degrees of feelings and three interrelationships of discursive formations: legal, economic, and moral. |
