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Bridging the gap between critical algorithm studies and the social sciences

the case of platform work
Authors: Paul Jonker-Hoffrén;

Bridging the gap between critical algorithm studies and the social sciences

Abstract

Since the mid-2000s platforms and platform work have greatly proliferated. Although also research on platforms and platforms has expanded, there seems to be a great gulf between IT- and social research on these issues. In this article, I show, using sociologist Maurizio Lazzarato’s concepts, that the technical infrastructure of the platform, in particular the algorithm, has a direct impact on work and the agency of the platform worker. From this perspective, it is possible to ask critical questions about platforms and platform work from a multidisciplinary viewpoint. Methodologically, an ethnographic approach that sees algorithms as part of culture, with its own institutions, impact on people and intersection with different contexts, could support co-operation between different disciplines. When such an approach is combined with insights from algorithm studies, research is also relevant for existing political questions regarding platform workers’ labour market status and the functioning of platform firms.

Country
Finland
Related Organizations
Keywords

monitieteisyys, interdisciplinarity, 330, 5142 Social policy, critical algorithm studies, alustatyö, 5142, Maurizio Lazzarato, kriittiset algoritmitutkimukset, 300, platform work

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Published in a Diamond OA journal