Representações visuais do Brasil: uma abordagem multidimensional imagética

• Autor(a) principal: Zeferino, Luiz Carlos
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://repositorio.pucsp.br/jspui/handle/handle/39981
• topic: CNPQ::LINGUISTICA, LETRAS E ARTES::LINGUISTICA::LINGUISTICA APLICADA; Linguística de corpus; Multimodalidade; Análise multidimensional; Estudos da imagem e da cultura; Corpus linguistics; Multimodality; Multidimensional analysis; Image and culture studies

"Brasilidade" is the word which represents the main idea of this research. It almost works as a label, an adjective or synonym to attributes which can be seen as years of difference and unbreakable expression, identifying the Brazilian image. This research was also born according to new practice and the main objectives of Open Science (BERBER SARDINHA et al., 2021), on a discursive and multimodal (BIBER, 1988), in Corpus Linguistics (BERBER SARDINHA, 2004), around the construction of the discursive and historical image of this "brasilidade". To propose this reflection on the field of visual communication involves mapping the multidimensional aspects of this corpus, analyzing a corpus which is freely available because it is on the internet, on the website Flickr. The objective is the exposition of a study which maps the building of the term brasilidade for the Brazilian image, while label-merchandise, or discourse-product. The word not only shows an identity, having attributes which are characteristics of the branding world (HULBERG, 2006), but also puts into motion perceptions about the country, according to the aesthetics present in each time. Methodologically, the study is based on Corpus Linguistics (BERBER SARDINHA, 2004) when the images of the corpus are analyzed, unveiling 09 dimensions, i.e., 09 different ways to represent Brazil. This research aims to give support to investigative replication and improvement of science, through free access to data, corpus and codes, on the Portal Multimodal/Multilíngue para o avanço da Ciência Aberta (BERBER SARDINHA et al, 2021; CiênciaAberta.Org)