dc.contributorGiering, Maria Eduarda
dc.creatorSilveira, Fábio Severo da
dc.date.accessioned2022-04-20T12:57:23Z
dc.date.accessioned2022-09-09T22:05:22Z
dc.date.accessioned2023-03-13T20:30:29Z
dc.date.available2022-04-20T12:57:23Z
dc.date.available2022-09-09T22:05:22Z
dc.date.available2023-03-13T20:30:29Z
dc.date.created2022-04-20T12:57:23Z
dc.date.created2022-09-09T22:05:22Z
dc.date.issued2022-02-22
dc.identifierhttp://148.201.128.228:8080/xmlui/handle/20.500.12032/39129
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6171238
dc.description.abstractThis study seeks to investigate, in tweets from the newspaper Zero Hora, the characteristics of enunciative enlargement, a mark of native digital discourse, indicated in the corpus through the responses and retweets from other users of the Twitter platform. Because we work with a digital corpus, that comes from a digital social network, we use the Digital Discourse Analysis Theory, by Marie-Anne Paveau (2013; 2016; 2017; 2019; 2020), which deals with the digital dimension of discourses produced online, on web 2.0. The author affirms the existence of native digital genres, which means, speech genres that, in addition to being produced only within an online context, are inseparably composed of language and technological material and have all the possibilities of writing on a keyboard. Among the characteristics of native digital genres is the enunciative enlargement, that implies, in digital contexts, the possibility of an enunciation being expanded through interactions, such as what occurs in Twitter comments, resulting in a polyenunciation. The corpus of study is composed by 16 tweets from the newspaper Zero Hora whose themes are related to the COVID-19 pandemic. In addition to the newspaper's tweet, the corpus features screenshots of 104 reply tweets and 35 retweets, in which the user has added text to it. The methodology used consists of a qualitative analysis, based on the verification of the technodiscursive characteristics of the tweets, the themes of the first posts, the comments and the retweets, followed by the identification of the different enunciators and the ways in which the first tweet is amplified. Then, an analysis of tweets, reply tweets and retweets with text is carried out to find out what types of enunciators there are in the corpus, and if the comments made by users are discursive, metadiscursive or troll, and what relationship they have with the first tweet. By the end of the analysis, we observed that, on Twitter, there are multiple enunciators and that the amplification of the first tweet, in most cases, continues the discussion started by the newspaper Zero Hora, there is a great political polarization among the commentators, who differ from the newspaper’s position.
dc.publisherUniversidade do Vale do Rio dos Sinos
dc.rightsopenAccess
dc.subjectAmpliação enunciativa
dc.subjectTwitter
dc.titleAmpliação enunciativa de tuítes do jornal ZH on-line sobre a COVID-19: uma abordagem tecnodiscursiva
dc.typeDissertação


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