Efeitos da seleção algorítmica no gosto musical dos usuários do Spotify
DOI:
https://doi.org/10.23882/rmd.24258Palavras-chave:
Spotify, curadoria algorítmica, plataformização, gosto, públicos calculados, bolhas de filtragemResumo
Este estudo aborda o impacto potencial dos algoritmos de recomendação nos gostos musicais dos usuários do Spotify, com o objetivo de compreender como as sugestões algorítmicas moldam os comportamentos e preferências de escuta. Uma revisão abrangente da literatura revela que a presença de algoritmos contribuiu para a redução da diversidade musical e o aumento da tautologia de gosto entre os usuários. Os resultados sugerem que os algoritmos de recomendação reforçam preferências anteriores, levando ao surgimento de filter bubbles. Esse gosto impulsionado por algoritmos tem implicações culturais evidentes e, com isso, um grande impacto na diversidade geral da experiência musical. Foi utilizada uma metodologia qualitativa, composta por uma revisão sistemática da literatura baseada no protocolo PRISMA, identificando tendências e elementos-chave dos estudos existentes. Este estudo encontra suas limitações na necessidade de um estudo quantitativo adicional para aprofundar a compreensão do comportamento dos algoritmos de recomendação. Em última análise, esta pesquisa ressalta a necessidade de maior conscientização sobre as implicações da recomendação musical por meio de algoritmos na era digital.
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