Data identity: privacy and the construction of self.

This paper argues in favor of a hybrid conception of identity. A common conception of identity in datafied society is a split between a digital self and a real self, which has resulted in concepts such as the data double, algorithmic identity, and data shadows. These data-identity metaphors have pla...

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Publicado en:Synthese Vol. 200; no. 6; pp. 1 - 33
Autores principales: Søe, Sille Obelitz, Mai, Jens-Erik
Formato: Artículo
Publicado: Springer Nature Dec2022
Acceso en línea:Ver este registro en EBSCOhost
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        10.1007/s11229-022-03968-5
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        atl: Data identity: privacy and the construction of self.
      aug:
        au:
          Søe, Sille Obelitz
          Mai, Jens-Erik
        affil: Department of Communication, University of Copenhagen, Copenhagen, Denmark
      sug:
      keyword:
        Algorithmic identity
        Data doubles
        Identity
        Language game
        Privacy
      ab: This paper argues in favor of a hybrid conception of identity. A common conception of identity in datafied society is a split between a digital self and a real self, which has resulted in concepts such as the data double, algorithmic identity, and data shadows. These data-identity metaphors have played a significant role in the conception of informational privacy as control over information—the control of or restricted access to your digital identity. Through analyses of various data-identity metaphors as well as philosophical accounts of identity, we argue in favor of a hybrid conception of identity that emphasizes the relations between the ‘real’ and the ‘digital’. A hybrid conception of identity—where the digital is an aspect on par with social relations, self-understanding, and values—ultimately calls for an understanding of privacy as the right to influence one’s own identity.
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    language: English
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