Cartografia do consumo televisivo : as dinâmicas cotidianas da audiência em um cenário convergente

• Autor(a) principal: Mello, Vanessa Scalei
• Data de Publicação: 2022
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_RS
• Texto Completo: https://tede2.pucrs.br/tede2/handle/tede/10177
• topic: Televisão; Audiências; Consumo Midiático; Mediações; CIENCIAS SOCIAIS APLICADAS::COMUNICACAO

Connected audiences, transit between screens, multiplicity of supply and forms of access. The possibilities of television consumption have changed significantly in the last decades, especially with the emergence of the network society and the culture of convergence. In face of the communication and culture changes that we experience, this thesis is questioning how the contemporary consumption dynamics are set up. This study articulates the thought of Latin American authors, such as Martín-Barbero, Canclini, Scolari and Orozco Gómez, with the ideas of Jenkins, Bailén and Lotz as theoretical-epistemological basis that underlies the empirical research. Based on a methodological triangulation, which includes virtual interviews, the construction of consumption diaries, and observation of the communicational environment, the study intends to map television consumption behaviors that emerge from the daily practices of individuals living in a large urban center in Brazil. The city chosen was Porto Alegre and eight households make up the sample, which totals 16 people. With the help of NVivo software, the analysis of the results points to the increase in streaming consumption, of serialized fiction and transnational content. The pandemic has important reflections in this context, promoting the resumption of a joint audience in the living room and the preference for long narratives. New temporalities emerge in this situation, with individual and collective times in contrast with a routine formatted to accommodate TV time. The habit of narrating what one watches (especially on social networks) guides choices along with algorithmic recommendations and indications from friends and experts.