Big data, meio e linguagem novas tecnologias e práticas linguísticas

• Ano de defesa: 2016
• Autor(a) principal: Santos, Vinícius Vargas Vieira dos
• Orientador(a): Pinto, Joana Plaza
• Banca de defesa: Pinto, Joana Plaza, Rajagopalan, Nascimento, André Marques do
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Letras e Linguística (FL)
• Departamento: Faculdade de Letras - FL (RG)
• País: Brasil
• Palavras-chave em Português: Big data; Meio; Contexto; Affordance; Performatividade
• Palavras-chave em Inglês: Medium; Context; Affordance; Performativity
• Área do conhecimento CNPq: LINGUISTICA, LETRAS E ARTES::LETRAS
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/6076

Big data, Meio e Linguagem: Novas tecnologias e práticas linguísticas aims to assimilate possible relationships between new digital media and certain conceptual aspects of language, such as meaning and performativity. Big data is a term that refers to digital data gathering, which characterized mass communication media in the past two decades, and it is directly related to the current configuration of Web 2.0 technology services platform. Complex contemporary objects such as big data call for methodological development to meet their super diverse natures. Therefore, it was the goal of this research to expand disciplinary boundaries, searching for theoretical basis in technology studies in the purpose to understand the nature of new media supports. Devices such as computers and mobile phones, with access to the World Wide Web, are increasingly transforming the landscape of linguistic exchanges, enabling communication practices to take place through them. This is why we understand the very computational structure as the medium (media) through which language happens, from then on this structure’s design features (affordances) are stimulating semantic anchoring and linguistic performativity. The scales of excessive volume and variety of digital data and its high speed, which characterize the big data, change the social context settings, and thus causing updates on language. After all, contexts in virtual environments collapse because in assuming the characteristics of the medium they reveal themselves as super diverse, simultaneous, fragmented, unstructured, missing family markers, exceeding traditional scales of time, space and social reach.