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      Managing visibility on YouTube through algorithmic gossip

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      New Media & Society
      SAGE Publications

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          Abstract

          Beauty vloggers’ feminised outputs often position them outside of traditional spheres of technical expertise, however, their strategic management of algorithmic visibility makes them an illuminating source of algorithmic knowledge. I draw from an ethnography of beauty vloggers and industry stakeholders to study the collaborative and directive processes used to formulate and sustain algorithmic expertise – algorithmic gossip. Algorithmic gossip is defined as communally and socially informed theories and strategies pertaining to recommender algorithms, shared and implemented to engender financial consistency and visibility on algorithmically structured social media platforms. Gossip is productive: community communication and talk informs and supports practices such as uploading frequently and producing feminised beauty content to perform more effectively on YouTube. Taking gossip seriously can present a valuable resource for revealing information about how algorithms work and have worked, in addition to revealing how perceptions of algorithms inform content production.

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          Most cited references33

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              The platformization of cultural production: Theorizing the contingent cultural commodity

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                Author and article information

                Journal
                New Media & Society
                New Media & Society
                SAGE Publications
                1461-4448
                1461-7315
                May 06 2019
                November 2019
                June 15 2019
                November 2019
                : 21
                : 11-12
                : 2589-2606
                Affiliations
                [1 ]King’s College London, UK
                Article
                10.1177/1461444819854731
                d6dfa522-5f4f-471c-9f36-1d80e13a0265
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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