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Utopian and Dystopian Sociotechnical Imaginaries of Big Data
University of Borås, Faculty of Librarianship, Information, Education and IT.ORCID iD: 0000-0002-3841-0377
University of Borås, Faculty of Librarianship, Information, Education and IT.ORCID iD: 0000-0001-9228-9179
2023 (English)In: Journal of Digital Social Research (JDSR), E-ISSN 2003-1998, Vol. 5, no 4, p. 93-125Article in journal (Refereed) Published
Abstract [en]

Data feminism, a way of thinking about and “doing” data utilizing feminist tools and perspectives, has emerged in recent years as a part of a critical discourse surrounding datafication. The aim of this study is to analyze and identify shared perceptions of big data as expressed in a corpus of scholarly writings published in the domain of data studies and data feminism. We analyzed a set of 44 scholarly texts engaging in feminism concerned with the concept of big data. For the purpose of this article, we refer to this set of texts as data feminism and examine how authors frame and describe big data. We compare future visions in data feminist material with policies by the European Commission and explore what tensions arise among them. Furthermore, we explore and delineate social and political alternatives that emerge from data feminist texts. Both corpora describe futures inclusive of big data and imagine possible positive outcomes from different perspectives and with different ideas of the current role of big data. We found that sociotechnical imaginaries of big data within the data feminist corpus are considerably richer and more nuanced than those of the European Commission. In the data feminist corpus, big data is described as a multiplicity of things and often implicated in perpetuating power imbalances and large societal issues. The European Commission corpus employs the perspective of “data as a resource” to be exploited.

Place, publisher, year, edition, pages
2023. Vol. 5, no 4, p. 93-125
Keywords [en]
big data, data, the European Commission, feminism, sociotechnical imaginaries, VOSViewer
National Category
Social Sciences
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-30975DOI: 10.33621/jdsr.v5i4.180OAI: oai:DiVA.org:hb-30975DiVA, id: diva2:1818092
Available from: 2023-12-08 Created: 2023-12-08 Last updated: 2024-01-18Bibliographically approved

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Marčetić, HanaNolin, Jan

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