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ALGORITHMIC PRODUCTION BEYOND SILICON VALLEY
Author(s) -
Dan M. Kotliar,
Rivka Ribak,
Shazeda Ahmed,
Jonathan Roberge,
Marius Senneville
Publication year - 2020
Publication title -
aoir selected papers of internet research
Language(s) - English
Resource type - Journals
ISSN - 2162-3317
DOI - 10.5210/spir.v2020i0.11134
Subject(s) - sociocultural evolution , construct (python library) , data science , computer science , silicon valley , china , sociology , focus (optics) , empirical research , algorithm , political science , epistemology , law , philosophy , physics , optics , entrepreneurship , anthropology , programming language
The last decade has seen a proliferation of research on algorithms. Algorithms were shown to influence the content we see online (Gillespie 2018), our chances of getting a job or a loan (Pasquale 2013), our relationships with our friends, colleagues or bosses (Bucher 2018), and even how we express and understand ourselves (Turow and Couldry 2018). Algorithms were also shown to affect our identities (Cheney-Lippold 2017), our choices (Yeung 2017), and our autonomy (Rouvroy 2013), and to mirror, and at times exacerbate social inequalities (Noble 2018; Benjamin 2019; Buolamwini and Gebru 2018; Eubanks 2018). At the same time, scholars have begun to examine the ties between algorithms and culture (Seaver 2017; Christin 2018; Ribak 2019; Seyfert and Roberge 2016), describing algorithms as products of complex socioalgorithmic assemblages (Gillespie 2016, 24), with often very local socio-technical histories (Kitchin 2017, 16; Seaver 2017).

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