Algorithmic abstractions of ‘fashion identity’ and the role of privacy with regard to algorithmic personalisation systems in the fashion domain

Onitiu, Daria (2021) Algorithmic abstractions of ‘fashion identity’ and the role of privacy with regard to algorithmic personalisation systems in the fashion domain. AI and Society. ISSN 0951-5666 (In Press)

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Official URL: https://doi.org/10.1007/s00146-021-01235-8

Abstract

This paper delves into the nuances of ‘fashion’ in recommender systems and social media analytics, which shape and define an individual’s perception and self-relationality. Its aim is twofold: first, it supports a different perspective on privacy that focuses on the individual’s process of identity construction considering the social and personal aspects of ‘fashion’. Second, it underlines the limitations of computational models in capturing the diverse meaning of ‘fashion’, whereby the algorithmic prediction of user preferences is based on individual conscious and unconscious associations with fashion identity. I test both of these claims in the context of current concerns over the impact of algorithmic personalisation systems on individual autonomy and privacy: creating ‘filter bubbles’, nudging the user beyond their conscious awareness, as well as the inherent bias in algorithmic decision-making. We need an understanding of privacy that sustains the inherent reduction of fashion identity to literal attributes and protects individual autonomy in shaping algorithmic approximations of the self.

Item Type: Article
Additional Information: Funding information: PhD is funded by the Research Development Fund (RDF) research studentship from Northumbria University.
Uncontrolled Keywords: Algorithmic personalisation, Fashion, Identity, Autonomy
Subjects: G700 Artificial Intelligence
M900 Other in Law
Department: Faculties > Business and Law > Northumbria Law School
Depositing User: Elena Carlaw
Date Deposited: 01 Jun 2021 12:50
Last Modified: 31 Jul 2021 10:47
URI: http://nrl.northumbria.ac.uk/id/eprint/46308

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