Appraisal in facebook comments on posts dedicated to checking for fake news in the brazilian 2018 presidential elections
This article aims to study the comments made by users of social media in response to 15 posts from a fact-checking agency the second round of the 2018 elections. The relevance of this study is to observe the influence of fakenews in the creation of a post-truth discourse, in which positions weigh mo...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Brasil |
| Institución: | Associação Brasileira de Linguística (ABRALIN) |
| Repositorio: | Cadernos de Linguística |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs3.cadernos.abralin.org:article/233 |
| Acceso en línea: | https://cadernos.abralin.org/index.php/cadernos/article/view/233 |
| Access Level: | acceso abierto |
| Palabra clave: | Fake news Linguística-Sistêmico Funcional Linguística do Corpus Fake News Avaliatividade Systemic-Functional Linguistics Appraisal Corpus Linguistics |
| Sumario: | This article aims to study the comments made by users of social media in response to 15 posts from a fact-checking agency the second round of the 2018 elections. The relevance of this study is to observe the influence of fakenews in the creation of a post-truth discourse, in which positions weigh more than facts. Our theoretical bases analysis are in Systemic-Functional Linguistics, more specifically in the evaluation system. Data collection was performed using automatic scraping tools, and data was processed using programmes written in the R language. The analyses are based on the network of collocates, the use frequency of words and in the relationships such words show. Such methods lead us to identify patterns within the arguments proposed in the comments, mostly based on political pre-formed perceptions. These perceptions are complementary to the grammatical analysis of hashtags and their multiple uses within the lines of argument present. The results show that the comments do not bring reflections upon the facts checked by the agency, and the political polarization discourse is common, using specific argumentative methods, such as proof by contradiction. |
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