2018
DOI: 10.1177/0896920517751588
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Windows into the Soul or the Clouded Glass of Surveillance Studies

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Cited by 2 publications
(2 citation statements)
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“…Surveillance is a contested concept, just because it is one of such great significance, especially in the present, and because alternative intellectual and political traditions view it differently. One seemingly intractable issue is whether the associations of surveillance with power and authority mean that its impacts are inescapably negative (Monahan, 2021;Harding, 2018;McQuade, 2018). Given the cognate evidence of how much surveillance continues to be dependent on military-security, rapacious capitalist and white colonial forces, its dubious reputation seems well-deserved.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Surveillance is a contested concept, just because it is one of such great significance, especially in the present, and because alternative intellectual and political traditions view it differently. One seemingly intractable issue is whether the associations of surveillance with power and authority mean that its impacts are inescapably negative (Monahan, 2021;Harding, 2018;McQuade, 2018). Given the cognate evidence of how much surveillance continues to be dependent on military-security, rapacious capitalist and white colonial forces, its dubious reputation seems well-deserved.…”
Section: Discussionmentioning
confidence: 99%
“…At least three further strands of surveillance research affect how the concept is construed: class, race and gender. Discussions of surveillance capitalism cannot be severed from class relations, (Foster & McChesney, 2014;Mosco, 2014;McQuade, 2018;Fuchs, 2012) and issues of colonialism are inseparable from those of racialisation and surveillance (Benjamin, 2019;Browne, 2015). Artificial Intelligence and Machine Learning systems designed at the beginning of the pandemic, for example, were hotly debated by civil society and public health researchers, especially with regard to how and whether racial and ethnic data should be used to train modelling algorithms within COVID-19 prediction platforms (Singh, 2020;McKenzie, 2020;Choi et al, 2021).…”
Section: Surveillance: a Multidisciplinary Conceptmentioning
confidence: 99%