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Data epistemologies / surveillance a...

Hong, Sun ha.

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Data epistemologies / surveillance and uncertainty.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data epistemologies / surveillance and uncertainty./
作者:	Hong, Sun ha.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	361 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-04(E), Section: A.
Contained By:	Dissertation Abstracts International78-04A(E).
標題:	Communication. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10190518
ISBN:	9781369338713

Data epistemologies / surveillance and uncertainty.
Hong, Sun ha.

Data epistemologies / surveillance and uncertainty. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 361 p.

Source: Dissertation Abstracts International, Volume: 78-04(E), Section: A.

Thesis (Ph.D.)--University of Pennsylvania, 2016.

Data Epistemologies studies the changing ways in which 'knowledge' is defined, promised, problematised, legitimated vis-a-vis the advent of digital, 'big' data surveillance technologies in early twenty-first century America. As part of the period's fascination with 'new' media and 'big' data, such technologies intersect ambitious claims to better knowledge with a problematisation of uncertainty. This entanglement, I argue, results in contextual reconfigurations of what 'counts' as knowledge and who (or what) is granted authority to produce it -- whether it involves proving that indiscriminate domestic surveillance prevents terrorist attacks, to arguing that machinic sensors can know us better than we can ever know ourselves.

ISBN: 9781369338713Subjects--Topical Terms:

524709
Communication.

Data epistemologies / surveillance and uncertainty.
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500 $a Adviser: Carolyn Marvin.
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520 $a Data Epistemologies studies the changing ways in which 'knowledge' is defined, promised, problematised, legitimated vis-a-vis the advent of digital, 'big' data surveillance technologies in early twenty-first century America. As part of the period's fascination with 'new' media and 'big' data, such technologies intersect ambitious claims to better knowledge with a problematisation of uncertainty. This entanglement, I argue, results in contextual reconfigurations of what 'counts' as knowledge and who (or what) is granted authority to produce it -- whether it involves proving that indiscriminate domestic surveillance prevents terrorist attacks, to arguing that machinic sensors can know us better than we can ever know ourselves.
520 $a The present work focuses on two empirical cases. The first is the 'Snowden Affair' (2013-Present): the public controversy unleashed through the leakage of vast quantities of secret material on the electronic surveillance practices of the U.S. government. The second is the 'Quantified Self' (2007-Present), a name which describes both an international community of experimenters and the wider industry built up around the use of data-driven surveillance technology for self-tracking every possible aspect of the individual 'self'. By triangulating media coverage, connoisseur communities, advertising discourse and leaked material, I examine how surveillance technologies were presented for public debate and speculation.
520 $a This dissertation is thus a critical diagnosis of the contemporary faith in 'raw' data, sensing machines and algorithmic decision-making, and of their public promotion as the next great leap towards objective knowledge. Surveillance is not only a means of totalitarian control or a technology for objective knowledge, but a collective fantasy that seeks to mobilise public support for new epistemic systems. Surveillance, as part of a broader enthusiasm for 'data-driven' societies, extends the old modern project whereby the human subject -- its habits, its affects, its actions -- become the ingredient, the raw material, the object, the target, for the production of truths and judgments about them by things other than themselves.
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