Experimenta-te a ti mesmo: Felipe Neto em performance no YouTube

Detalhes bibliográficos
Ano de defesa: 2013
Autor(a) principal: Tiago Barcelos Pereira Salgado
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
UFMG
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/1843/BUOS-993KDG
Resumo: In this dissertation we explore the way in which Felipe Neto establishes a mutual responsibility between himself and the audiences that he has attracted through his performance on YouTube. We provide evidence of the spectacular and entertaining dimensions that the performing practice acquires within this online setting when coupled with media and marketlogic. Also, we examine how the videos audiences shape themselves within the communicational dynamic that is being investigated. Our argument centers on the concept of the body inaction being the locus of the performing act, along with the co-participation of its audience. Therefore, we use performance as an analytical operator to understand the nature of resulting exhibitionist behavior, as demonstrated by Neto. We turn to gestuality and vocality analytical categories in order to analyze the corpus that is being delimited, along with a category that we put forward specifically designed for the purpose of our investigation: the spectacular performatic self. We provide a description of our chosen object and we propose to analyze some videos from Felipes two YouTube channels, all in accordance with the operator and the analytical categories listed above. We stick to three main themes that are being discussed from the videos, which are identified through tags (the process used to categorize the audiovisual material posted on YouTube). We made a transcription of the videos, with gesture mapping, the camera movements used and technical resources employed, we also highlight certain frames that are being analyzed, and within which the performers gestures are evident.