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  1. Global Darussalam Academy
  2. Catalog
  3. Everybody lies big data, new data, and what the internet can...
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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 - Nama Orang;

Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.

By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.

Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?

Ketersediaan
LokasiKode EksemplarNo. PanggilStatus
My Library (Social Science)GDA03705B303.483 STE e c.1Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
303.483 STE e c.1
Penerbit
New York: HarperCollins Publishers, 2017
Deskripsi Fisik
xi + 338 hlm.; 21 cm.
Bahasa
Indonesia
ISBN/ISSN
9780062390851
Klasifikasi
303.483
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
Social Change
Info Detail Spesifik
-
Pernyataan Tanggungjawab
-
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas

Tidak Ada Data

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