Press enter after choosing selection

Everybody Lies : : big Data, new Data, and What the Internet can Tell us About who we Really are

Stephens-Davidowitz, Seth. Book - 2017 006.312 St, Adult Book / Nonfiction / Social Science / General / Stephens-Davidowitz, Seth, Adult Book / Nonfiction / Computers / Web / Stephens-Davidowitz, Seth 1 On Shelf No requests on this item Community Rating: 3.8 out of 5

Cover image for Everybody lies : : big data, new data, and what the Internet can tell us about who we really are

Sign in to request

Locations
Call Number: 006.312 St, Adult Book / Nonfiction / Social Science / General / Stephens-Davidowitz, Seth, Adult Book / Nonfiction / Computers / Web / Stephens-Davidowitz, Seth
On Shelf At: Downtown Library

Location & Checkout Length Call Number Checkout Length Item Status
Downtown 2nd Floor
4-week checkout
006.312 St 4-week checkout On Shelf
Malletts Adult Books
4-week checkout
Adult Book / Nonfiction / Social Science / General / Stephens-Davidowitz, Seth 4-week checkout Due 05-19-2024
Westgate Adult Books
4-week checkout
Adult Book / Nonfiction / Computers / Web / Stephens-Davidowitz, Seth 4-week checkout Due 05-16-2024

Part I: Data, big and small. Your faulty gut -- Part II: The powers of big data. Was Freud right? -- Data reimagined -- Digital truth serum -- Zooming in -- All the world's a lab -- Part III: Big data: handle with care. Big data, big schmata? What it cannot do -- Mo data, mo problems? What we shouldn't do -- Conclusion: how many people finish books?
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.
"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 groundbreaking 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. [This] book will change the way you view the world. There is almost no limit to what can be learned about human nature from Big Data--provided, that is, you ask the right questions"--J.

REVIEWS & SUMMARIES

Library Journal Review
Summary / Annotation
Table of Contents

COMMUNITY REVIEWS

***** submitted by shannonwait on July 29, 2018, 7:48am Made me think about data in new ways

Interesting submitted by jibkidder on July 3, 2022, 7:47am There are things I find annoying about the author's tone or style - something about his didacticism or his sense of humor, and more than that I find it concerning that he doesn't address the sort of dark side of this whole thing - surveillance and behavior prediction but nevertheless, the overview of studies here and what they seem to indicate is pretty fascinating.

Cover image for Everybody lies : : big data, new data, and what the Internet can tell us about who we really are


PUBLISHED
[New York, NY] : Dey St., an imprint of William Morrow, [2017]
Year Published: 2017
Description: xi, 338 pages : illustrations (some color) ; 22 cm.
Language: English
Format: Book

ISBN/STANDARD NUMBER
9780062390851
0062390856

ADDITIONAL CREDITS
Pinker, Steven, 1954-

SUBJECTS
Data mining -- Social aspects.
Big data -- Social aspects.
Internet -- Social aspects.