Dataclysm Titelbild

Dataclysm

Who We Are (When We Think No One's Looking)

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Dataclysm

Von: Christian Rudder
Gesprochen von: Kaleo Griffith
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Über diesen Titel

A New York Times Bestseller

An audacious, irreverent investigation of human behavior—and a first look at a revolution in the making


Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who we truly are.

For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.

In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.

Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.
Inhaltserstellung & Soziale Medien Seelische & Geistige Gesundheit Soziologie
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There are a lot of plots and graphs that are better read than listened to

I recommend the print version

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An entertaining book on data science applied to online dating. It is witty, insightful and critical.

Entertaining book on data science

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