Solidão acompanhada: a dinâmica paradoxal das redes sociais no capitalismo de vigilância
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Universidade Federal de São Carlos
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Technological innovations made possible by the expansion of internet use influence and restructure society, implying the movement of continuous and endless information and data that
are transformed into commodities aimed at predicting and shaping people's behavior as the foundation of surveillance capitalism. The objective of this study is to analyze the dynamics of
interpersonal relationships shaped by social networks and how communication technologies modify subjectivities and promote the maintenance of relationships of dependence that will enable this feedback from the capitalist system. The study methodology is based on bibliographical research with a descriptive approach. From the research it was found that hyperconnection in digital media goes far beyond the implicit collection of data that is used to perpetuate the system. Social networks keep people in their comfort zone with superficial interactions that do not create intimacy or deep friendships, generating feelings of loneliness and reduced relationships. The exposure of intimacy becomes an attraction to keep internet
users connected, isolated and lonely for long periods, influencing the way they think and act, consolidating the paradox of surveillance capitalism.
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Capitalismo de vigilância , Redes sociais digitais , Mercantilização das subjetividades , Mercantilização dos afetos , Intimidade performática , Solidão conectada , Surveillance capitalism , Digital networks , Subjectivities commoditization , Affections commoditization , Performative intimacy , Connected loneliness
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CHINI, Gabriela. Solidão acompanhada: a dinâmica paradoxal das redes sociais no capitalismo de vigilância. 2024. Trabalho de Conclusão de Curso (Graduação em Ciências Sociais) – Universidade Federal de São Carlos, São Carlos, 2024. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/20491.
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Except where otherwise noted, this item's license is described as Attribution-NoDerivs 3.0 Brazil
