Spatial big data and anxieties of control

Abstract

Kate Crawford has recently suggested that the everyday lived experience of big data is one of “surveillant anxiety”: the fear that the personal information that individuals disclose about themselves and that others generate about them is intercepted and analyzed by the intelligence services within emergent praxes of pervasive dataveillance. I empirically assess this notion of “surveillant anxiety” in the context of spatial big data. Drawing on the results of a small-scale survey of understandings of location data collection and dissemination via mobile devices and their contextualization against other available data, I demonstrate that individuals are seemingly more concerned with transparency in data collection and in controlling flows of personal spatial information about themselves than they are with practices of data capture or their eventual use(s). Rather than a generalizable societal condition of “surveillant anxiety,” I argue that the realities of living in a (spatial) big data present are better characterized in terms of what I designate as “anxieties of control”: the desire to discern (be aware of) and direct (determine the disclosure of) personal spatial big data flows about oneself while feeling that any attempt at exerting such control is effectively futile.

Keywords

Big data location surveillance anxiety control

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