Everybody lies : big data, new data, and what the Internet can tell us about who we really are / Seth Stephens-Davidowitz.
Contributor(s): Pinker, Steven [aui].Material type: TextPublisher: New York : Harper Collins, 2017Description: XI, 338 str. : ilustr. ; 22 cm.ISBN: 9780062390851.Subject(s): internet - društveni aspekti | veliki podaci | rudarenje podataka | baze podataka
|Item type||Current location||Collection||Call number||Status||Date due||Barcode||Item holds|
|Knjiga||Knjižnica FFZG 1. kat, informacijske znanosti||CROSSDA||BG01.4 STE.D e (Browse shelf)||Checked out||2021-08-14||1305274572|
Bibliografske bilješke: str. 289-318. Kazalo.
Introduction: The outlines of a revolution -- Your faulty gut -- Was Freud right? -- Data reimagined -- Digital truth serum -- Zooming in -- All the world's a lab -- Big data, big schmata? What it cannot do -- Mo data, mo problems? What we shouldn't do -- Conclusion: How many people finish books?
Predgovor: Steven Pinker.
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.--