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If Then: How One Data Company Invented the Future

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Forlagsbeskrivelse af If Then: How One Data Company Invented the Future af Jill Lepore

Shortlisted for the 2020 Financial Times/McKinsey Business Book of the Year, longlisted for the National Book Award. 'An authoritative account of the origins of data science, a compelling political narrative of America in the Sixties, a poignant collective biography of a generation of flawed men' David Kynaston. The Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge - decades before Facebook, Google, Amazon, and Cambridge Analytica. Silicon Valley likes to imagine it has no past but the scientists of Simulmatics are the long-dead grandfathers of Mark Zuckerberg and Elon Musk. Borrowing from psychological warfare, they used computers to predict and direct human behavior, deploying their "People Machine" from New York, Cambridge, and Saigon for clients that included John Kennedy's presidential campaign, the New York Times, Young & Rubicam, and, during the Vietnam War, the Department of Defence. In If Then, distinguished Harvard historian and New Yorker staff writer, Jill Lepore, unearths from the archives the almost unbelievable story of this long-vanished corporation, and of the women hidden behind it. In the 1950s and 1960s, Lepore argues, Simulmatics invented the future by building the machine in which the world now finds itself trapped and tormented, algorithm by algorithm. If Then shines a totally new light on the history of tech, politics, the Cold war, the hidden women involved, and – unavoidably – the issues facing our society today. It shows how the world we experience online today derives from the first weaponization of data.

Detaljer

Forlag
John Murray Publishers Ltd
Udgave
1
ISBN
9781529386165
Sprog
engelsk
Sider
432
Udgivelsesdato
17-09-2020
Format
Paperback
Varenr.
2861827
EAN nr.
9781529386165
Varegruppe
Engelsk non fiction div.

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  • Databehandling og informationsteknologiDatabaserData mining
  • Samfund og samfundsvidenskabPolitik og regering
  • Økonomi, finans, erhvervsliv og ledelseØkonomi
  • Økonomi, finans, erhvervsliv og ledelseIndustri og industrielle studierMedier, underholdning, informationsbranchen og kommunikationserhvervIT-branchen
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