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dc.creatorSiles González, Ignacio
dc.creatorSegura Castillo, Andrés
dc.creatorSolís Quesada, Ricardo
dc.creatorSancho, Mónica
dc.date.accessioned2020-05-04T16:31:21Z
dc.date.available2020-05-04T16:31:21Z
dc.date.issued2020-04-30
dc.identifier.citationhttps://journals.sagepub.com/doi/full/10.1177/2053951720923377es_ES
dc.identifier.urihttp://hdl.handle.net/10669/80981
dc.description.abstractThis paper examines folk theories of algorithmic recommendations on Spotify in order to make visible the cultural specificities of data assemblages in the global South. The study was conducted in Costa Rica and draws on triangulated data from 30 interviews, 4 focus groups with 22 users, and the study of “rich pictures” made by individuals to graphically represent their understanding of algorithmic recommendations. We found two main folk theories: one that personifies Spotify (and conceives of it as a social being that provides recommendations thanks to surveillance) and another one that envisions it as a system full of resources (and a computational machine that offers an individualized musical experience through the appropriate kind of “training”). Whereas the first theory emphasizes local conceptions of social relations to make sense of algorithms, the second one stresses the role of algorithms in providing a global experience of music and technology. We analyze why people espouse either one of these theories (or both) and how these theories provide users with resources to enact different modalities of power and resistance in relation to recommendation algorithms. We argue that folk theories thus offer a productive way to broaden understanding of what agency means in relation to algorithms.es_ES
dc.language.isoen_USes_ES
dc.sourceBig Data & Society, 7(1), 2020es_ES
dc.subjectAgencyes_ES
dc.subjectalgorithmses_ES
dc.subjectaudience researches_ES
dc.subjectfolk theorieses_ES
dc.subjectLatin Americaes_ES
dc.subjectmusic streaming serviceses_ES
dc.subjectsurveillancees_ES
dc.titleFolk theories of algorithmic recommendations on Spotify: Enacting data assemblages in the global Southes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1177/2053951720923377
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Sociales::Centro de Investigación en Comunicación (CICOM)es_ES


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