Beyond Algorithmic Bias: A Socio-Computational Interrogation of the Google Search by Image Algorithm

We perform a socio-computational interrogation of the google search by image algorithm, a main component of the google search engine. We audit the algorithm by presenting it with more than 40 thousands faces of all ages and more than four races and collecting and analyzing the assigned labels with t...

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Veröffentlicht in:	Social science computer review 2023-08, Vol.41 (4), p.1100-1125
Hauptverfasser:	Papakyriakopoulos, Orestis, Mboya, Arwa M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Audits Bias Design Interrogation Search engines Social reproduction Sociocultural factors Stereotypes
Online-Zugang:	Volltext
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