Recommendation systems as technologies of the self: algorithmic control and the formation of music taste

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buir.contributor.authorKarakayalı, Nedim
buir.contributor.authorKöstem, Burç
buir.contributor.authorGalip, İdil
dc.citation.epage24en_US
dc.citation.issueNumber2en_US
dc.citation.spage3en_US
dc.citation.volumeNumber35en_US
dc.contributor.authorKarakayalı, Nedimen_US
dc.contributor.authorKöstem, Burçen_US
dc.contributor.authorGalip, İdilen_US
dc.date.accessioned2019-02-13T08:20:58Z
dc.date.available2019-02-13T08:20:58Z
dc.date.issued2018en_US
dc.departmentDepartment of Political Science and Public Administrationen_US
dc.description.abstractThe article brings to light the use of recommender systems as technologies of the self, complementing the observations in current literature regarding their employment as technologies of ‘soft’ power. User practices on the music recommendation website last.fm reveal that many users do not only utilize the website to receive guidance about music products but also to examine and transform an aspect of their self, i.e. their ‘music taste’. The capacity of assisting users in self-cultivation practices, however, is not unique to last.fm but stems from certain properties shared by all recommendation systems. Furthermore, unlike other oft-studied digital/web technologies of the self which facilitate ‘self-publishing’ vis-a`-vis virtual companions in social media, recommender algorithms themselves can act as ‘intimate experts’, accompanying users in their self-care practices. Thus, recommendation systems can facilitate both algorithmic control and creative self-transformation, which calls for a theorization of this new cultural medium as a space of tension.en_US
dc.description.provenanceSubmitted by Dilan Ayverdi (dilan.ayverdi@bilkent.edu.tr) on 2019-02-13T08:20:58Z No. of bitstreams: 1 Recommendation_systems_as_technologies_of_the_self_algorithmic_control_and_the_formation_of_music_taste.pdf: 185884 bytes, checksum: de67ee94c5d1f41d07d33917c8ebc33b (MD5)en
dc.description.provenanceMade available in DSpace on 2019-02-13T08:20:58Z (GMT). No. of bitstreams: 1 Recommendation_systems_as_technologies_of_the_self_algorithmic_control_and_the_formation_of_music_taste.pdf: 185884 bytes, checksum: de67ee94c5d1f41d07d33917c8ebc33b (MD5) Previous issue date: 2018en
dc.identifier.doi10.1177/0263276417722391en_US
dc.identifier.eissn1460-3616
dc.identifier.issn0263-2764
dc.identifier.urihttp://hdl.handle.net/11693/49391
dc.language.isoEnglishen_US
dc.publisherSage Publications Ltd.en_US
dc.relation.isversionofhttps://doi.org/10.1177/0263276417722391en_US
dc.source.titleTheory, Culture and Societyen_US
dc.subjectAlgorithmsen_US
dc.subjectCare of the selfen_US
dc.subjectFoucaulten_US
dc.subjectLast.fmen_US
dc.subjectOnline music recommendationen_US
dc.subjectRecommendation systemsen_US
dc.subjectTechnologies of the selfen_US
dc.titleRecommendation systems as technologies of the self: algorithmic control and the formation of music tasteen_US
dc.typeArticleen_US

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