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Everybody lies : big data, new data, and what the internet can tell us about who we really are / Seth Stephens-Davidowitz

Stephens-Davidowitz, Seth [Verfasserin/Verfasser]

Pinker, Steven, 1954- [Verfass. eines Vorworts]

First edition

New York : HarperCollins Publishers ; New York, NY : HarperCollins Publishers, [2017] [© 2017]

xi, 338 Seiten : Illustrationen, Diagramme, Karten ; 22 cm

Englisch

978-0-06-239086-8 ; 978-0-06-239085-1 (Festeinband)

9780062390851

OCoLC: 989971601     

OCoLC: 989971601 (aus SWB)     

SR 850  | ST 530  | MS 7965  | AP 15900      Ähnliche Literatur

QA76.9.D343

302.23/1 ; 006.3/12

FIV Notation: RQ: Weltweit ; SG06: Gesellschaft / Medien/Information ; SI03.02: Technik / Technikzweige / Informationstechnologie

Basisklassifikation: 54.08 (Informatik in Beziehung zu Mensch und Gesellschaft) ; 54.32 (Rechnerkommunikation)

*Big Data ; Psychologie ; Internet      Zum Register

*Big Data ; Datenanalyse ; Verhaltensmuster ; Data Mining ; Falschaussage      Zum Register

*Big Data ; Psychologie ; Internet ; Data Mining      Zum Register

*Big Data ; Psychologie ; Internet ; Data Mining      Zum Register

GND-Schlagwörter: Erde ; Politischer Prozess ; Internationale Politik ; Informationstechnik ; Kommunikationstechnik ; Social Media ; Internet ; Daten ; Zuverlässigkeit ; Kontrolle ; Überwachung ; Beurteilung ; Abschätzung

LOC-SH: Data mining -- Social aspects ; Big data -- Social aspects ; Internet -- Social aspects

How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy? In this work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys -- and themselves. However, we no longer need to rely on what people tell us. New data from the internet -- the traces of information that billions of people leave on Google, social media, dating, and even pornography sites -- finally reveals the truth. By analyzing this digital goldmine, we can now learn what people really think, what they really want, and what they really do. Sometimes the new data will make you laugh out loud. Sometimes the new data will shock you. Sometimes the new data will deeply disturb you. But, always, this new data will make you think.--

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