Data And Goliath The Hidden Battles To Collect Your Data And Control Your World Pdf
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Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World
Author: Bruce Schneier
language: en
Publisher: W. W. Norton & Company
Release Date: 2015-03-02
“Bruce Schneier’s amazing book is the best overview of privacy and security ever written.”—Clay Shirky Your cell phone provider tracks your location and knows who’s with you. Your online and in-store purchasing patterns are recorded, and reveal if you're unemployed, sick, or pregnant. Your e-mails and texts expose your intimate and casual friends. Google knows what you’re thinking because it saves your private searches. Facebook can determine your sexual orientation without you ever mentioning it. The powers that surveil us do more than simply store this information. Corporations use surveillance to manipulate not only the news articles and advertisements we each see, but also the prices we’re offered. Governments use surveillance to discriminate, censor, chill free speech, and put people in danger worldwide. And both sides share this information with each other or, even worse, lose it to cybercriminals in huge data breaches. Much of this is voluntary: we cooperate with corporate surveillance because it promises us convenience, and we submit to government surveillance because it promises us protection. The result is a mass surveillance society of our own making. But have we given up more than we’ve gained? In Data and Goliath, security expert Bruce Schneier offers another path, one that values both security and privacy. He brings his bestseller up-to-date with a new preface covering the latest developments, and then shows us exactly what we can do to reform government surveillance programs, shake up surveillance-based business models, and protect our individual privacy. You'll never look at your phone, your computer, your credit cards, or even your car in the same way again.
Your Data, Their Billions
THE GUIDE TO USING EVERYDAY TECH—FROM GOOGLE SEARCHES AND AMAZON TO GPS AND FACEBOOK—WITH EYES WIDE OPEN. What if somebody knew everything about you? Your . . . • relationships: work, social, and private • family history, finances, and medical records • even your exact location . . . at any time of the day • personal preferences and purchases Somebody does. That somebody is “Big Tech.” Facebook, Google, Amazon, Apple, and Microsoft know more about you than you do. And they make billions of dollars by cashing in on your private data. Our personal data, which Big Tech companies get for free, is the engine that drives the unregulated, free-for-all, Wild West world called the digital marketplace. These corporate giants may bring us information and entertainment, convenience and connection, but they also do a lot of harm by: • threatening our privacy, discovering and disseminating our personal information. • spreading dangerous misinformation from foreign governments and bad actors. • manipulating our behavior, affecting what we see, buy . . . even who we vote for. So, what can we do about it? This eye-opening book provides vital information that has been out of reach to those who need it most—the millions of Facebook, Google, Amazon, Apple, and Microsoft users who have come to love and depend upon these digital products. Veteran consumer advocate Jane Hoffman makes the complex world of Big Tech simple to grasp as she reveals exactly how Big Tech uses—and abuses—your personal information. And she proposes a bold blueprint for reforming these corporate behemoths—including a data dividend. Your Data, Their Billions is a guidebook to everything at stake in our digital society, from Big Tech’s overreach into our daily lives to its practices that threaten our democracy. Knowledge is power—and it starts here.
The Data Revolution
Widely acknowledged as being the first academic text to provide a critical overview of the (big) data revolution and the classification of data which it outlined is now widely used/recognised as the taxonomy in social science. The Data Revolution a canonical text in data studies and the wider social sciences.