Summary of Everybody Lies
EVERYBODY LIES: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz. Copyright © 2017 by Seth Stephens-Davidowitz. Published by arrangement with Dey Street Books, an imprint of HarperCollins Publishers
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Economist and former Google data scientist Seth Stephens-Davidowitz delves into some of the darker aspects of US society and reveals how the new age of big data sets provides insights about America today. His accessible writing makes his data analysis approachable, as he explains how data analysis like his works and how analysts utilize data sets. He also covers relevant advances in analytics. Building from his ground-breaking political research, he discusses sociology, psychology, economics, medicine and crime. Be forewarned: Stephens-Davidowitz discusses his and others’ research into racism, child abuse, sexuality and pornography in stark terms, including specific racial slurs used in the research. This startling overview is informed reading for anyone seeking to understand how big data can shape contemporary life and attitudes.
In this summary, you will learn
- How Google can anonymously tell people who they really are,
- How large data sets revolutionize research, and
- How to best leverage data analysis in research and the world.
About the Author
Former Google data scientist Seth Stephens-Davidowitz – now a visiting lecturer at the Wharton School and a New York Times op-ed contributor – uses big data to reveal underlying currents in human behaviors and attitudes.