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Everybody lies

big data, new data, and what the Internet can tell us about who we really are
Verfasser*in: Suche nach Verfasser*in Stephens-Davidowitz, Seth
Verfasser*innenangabe: Seth Stephens-Davidowitz
Jahr: 2017
Verlag: New York, Dey St., an imprint of William Morrow
Mediengruppe: Buch
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Inhalt

VERLAGSTEXT: / / A former Google data scientist presents an insider's look at what the vast, instantly available amounts of information from the Internet can reveal about human civilization and society. / / The New York Times op-ed columnist and former Google data scientist presents an insider's look at what today's vast, instantly available amounts of information can reveal about our world. 200,000 first printing. / / Foreword by Steven Pinker, author of The Better Angels of our Nature / 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? / Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential-revealing biases deeply embedded within us, information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health-both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world. / / /
 
AUS DEM INHALT: / / Foreword ix Steven Pinker / / Introduction: The Outlines of a Revolution 1 (24) / PART I DATA, BIG AND SMALL / / 1 Your Faulty Gut / 25 (20) / PART II THE POWERS OF BIG DATA / / 2 Was Freud Right? / 45 (10) / 3 Data Reimagined / 55 (50) / Bodies as Data / 62 (12) / Words as Data / 74 (23) / Pictures as Data / 97 (8) / 4 Digital Truth Serum / 105 (60) / The Truth About Sex / 112 (16) / The Truth About Hate and Prejudice / 128 (12) / The Truth About the Internet / 140 (5) / The Truth About Child Abuse and Abortion / 145 (5) / The Truth About Your Facebook Friends / 150 (3) / The Truth About Your Customers / 153 (5) / Can We Handle the Truth? / 158 (7) / 5 Zooming In / 165 (42) / What's Really Going On in Our Counties, Cities, and Towns? / 172 (18) / How We Fill Our Minutes and Hours / 190 (7) / Our Doppelgangers / 197 (8) / Data Stories / 205 (2) / 6 All the World's a Lab / 207 (36) / The ABCs of A/B Testing / 209 (12) / Nature's Cruel---but Enlightening---Experiments / 221 (22) / PART III BIG DATA: HANDLE WITH CARE / / 7 Big Data, Big Schmata? What It Cannot Do / 243 (14) / The Curse of Dimensionality / 246 (6) / The Overemphasis on What Is Measurable / 252 (5) / 8 Mo Data, Mo Problems? What We Shouldn't Do / 257 (14) / The Danger of Empowered Corporations / 257 (9) / The Danger of Empowered Governments / 266 (5) / Conclusion: How Many People Finish Books? 271 (14) / Acknowledgments 285 (4) / Notes 289 (30) / Index / / /

Details

Verfasser*in: Suche nach Verfasser*in Stephens-Davidowitz, Seth
Verfasser*innenangabe: Seth Stephens-Davidowitz
Jahr: 2017
Verlag: New York, Dey St., an imprint of William Morrow
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Systematik: Suche nach dieser Systematik GS.ON, FS.E
Interessenkreis: Suche nach diesem Interessenskreis Englisch [Sprache]
ISBN: 978-0-06-239085-1
2. ISBN: 0-06-239085-6
Beschreibung: 338 S.
Schlagwörter: Data Mining, Sozialer Aspekt, Big Data, Internet, Data-Mining, Datamining, Datenmustererkennung, Mass Data, Massendaten
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Sprache: Englisch
Fußnote: Includes bibliographical references (pages 289-318) and index. Text engl.
Mediengruppe: Buch