MARC Record from marc_openlibraries_sanfranciscopubliclibrary

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008 171121t20182017nyua b 001 0 eng
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020 $a9781250074317$qhardcover
020 $a1250074312$qhardcover
035 $a(OCoLC)1013516195
037 $aBRO-copy20180208-054
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100 1 $aEubanks, Virginia,$d1972-$eauthor.
245 10 $aAutomating inequality :$bhow high-tech tools profile, police, and punish the poor /$cVirginia Eubanks.
246 30 $aHow high-tech tools profile, police, and punish the poor
250 $aFirst Edition.
264 1 $aNew York, NY :$bSt. Martin's Press,$c2018.
264 4 $c©2017
300 $a260 pages :$billustrations ;$c22 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
520 $a"Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems - rather than humans - control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile"--Publisher's website.
504 $aIncludes bibliographical references (pages 225-251) and index.
505 0 $aIntroduction: red flags -- From poorhouse to database -- Automating eligibility in the heartland -- High-tech homelessness in the City of Angels -- The Allegheny algorithm -- The digital poorhouse -- Conclusion: dismantling the digital poorhouse -- Acknowledgments -- Sources and methods -- Notes -- Index.
650 0 $aPoor$xServices for$zUnited States$xData processing.
650 0 $aPoverty$zUnited States.
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