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Seeing mobility: how software engineers produce unequal representations
KTH, School of Computer Science and Communication (CSC).ORCID iD: 0000-0001-5620-6305
2016 (English)In: Engineering Studies, ISSN 1937-8629, E-ISSN 1940-8374, Vol. 8, no 1, 27-47 p.Article in journal (Refereed) Published
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Abstract [en]

Data produced by mobile networks are frequently presented as useful to understanding social phenomena related to human behavior. The risks associated with making use of massive datasets are often framed in terms of privacy, security, intellectual property, or liability. I show that the risks of mobile data sensing are not reducible to privacy, but are also related to how software engineers produce representations of individuals or populations. I characterize software engineering as a practice of producing abstractions and categorizations by articulating discursive and material elements. These may contribute to rendering certain groups of individuals invisible. If unaddressed, these risks can have consequences at least as serious as privacy violations.

Place, publisher, year, edition, pages
Routledge, 2016. Vol. 8, no 1, 27-47 p.
Keyword [en]
big data, circulating reference, massive data, Privacy, representation, software engineers, surveillance, telecommunications data, Behavioral research, Engineers, Population statistics, Software engineering, Space surveillance, Circulating references, Human behaviors, Massive data sets, Material elements, Privacy violation, Telecommunications datum, Data privacy
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-188341DOI: 10.1080/19378629.2016.1163572ISI: 000377884800002Scopus ID: 2-s2.0-84961390857OAI: oai:DiVA.org:kth-188341DiVA: diva2:934753
Note

QC 20160609

Available from: 2016-06-09 Created: 2016-06-09 Last updated: 2017-03-16Bibliographically approved

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  • Other locale
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