000 | nam a22 4500 | ||
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999 |
_c32852 _d32852 |
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008 | 240219b xxu||||| |||| 00| 0 eng d | ||
020 | _a9780262047470 | ||
082 |
_a111 _bSHE |
||
100 | _aShepard, Mark | ||
245 | _aThere are no facts : attentive algorithms, extractive data practices, and the quantification of everyday life | ||
260 |
_bMit Press, _aCambridge : _c2022 |
||
300 |
_a283 p. ; _bill. (some col.) , _c24 cm |
||
365 |
_b27.95 _c$ _d86.50 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aThere Are No Facts examines the uncommon ground we share in a post-truth world. It unpacks how attentive algorithms and extractive data practices are shaping space, influencing behavior and colonizing everyday life. Articulating post-truth territory as an architectural and infrastructural condition, it shows how these spatial architectures of attention and datamining are in turn situated within broader histories of empiricism, objectivity, science, colonialism and perception. These entanglements of people and data, code and space, knowledge and power are considered across scales ranging from the trans-locality of the home to the planetary extent of the COVID-19 pandemic, with stops along the way at the corner bodega, a neighborhood for the proverbial 1%, a waterfront district in Toronto, and a national election. Through an introduction, nine chapters and a coda, the book addresses the erosion of a common ground on which truth claims were once negotiated and the epistemic fragmentation that results. It probes how these socio-technical systems bracket what we know about the world, how they construe our agency to act within it, and how they shape these spaces that, in turn, shape us. | ||
650 | _aToronto waterfront district | ||
650 | _aSocial networks | ||
650 | _aMachine learning systems | ||
650 | _aPost-truth practices | ||
650 | _aUrban minimarket | ||
650 | _aCOVID-19 pandemic | ||
650 | _aMedia Studies | ||
942 |
_2ddc _cBK |