French, M;
Guta, A;
Gagnon, M;
Mykhalovskiy, E;
Roberts, SL;
Goh, S;
McClelland, A;
(2020)
Corporate contact tracing as a pandemic response.
Critical Public Health
10.1080/09581596.2020.1829549.
(In press).
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Abstract
Since the start of the COVID-19 pandemic, a steady stream of propositions from tech giants and start-ups alike has furnished us with the idea that GPS- or Bluetooth-enabled contact tracing apps are a vital part of the pandemic response. This commentary considers these apps as ‘corporate contact tracing’, emphasizing the private-sector role that such developments imply. We first discuss corporate contact tracing’s potential to de-center the power of public health authorities. Then, using the frames of surveillance capitalism and disaster capitalism, we suggest how corporate contact tracing might feed the rise of corporate power in the public sphere. We question its capacity to address structural inequalities and to foster a social justice vision of public health. And, we wonder whether corporate contact tracing might intensify the effects of discriminatory design and algorithmic oppression. We conclude by calling for a discussion of this technology beyond questions of privacy and efficacy.
Type: | Article |
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Title: | Corporate contact tracing as a pandemic response |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1080/09581596.2020.1829549 |
Publisher version: | https://doi.org/10.1080/09581596.2020.1829549 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | contact tracing, COVID-19, mobile phone applications (apps), pandemic, surveillance capitalism and disaster capitalism |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10117021 |
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