The return of the moguls : how Jeff Bezos and John Henry are remaking newspapers for the twenty-first century / Dan Kennedy.

Includes bibliographical references and index.

Introduction: The rise and fall of newspapers in a time of turmoil -- The swashbuckler: Jeff Bezos puts his stamp on a legendary newspaper -- The crux of the matter: John Henry's culture of experimentation -- Unrequited love: spurned in Boston and Maine, Aaron Kushner looks west -- This is your brain on the Internet: can news break free of the distraction machine? -- Getting big fast: how the Washington Post is becoming the Amazon of news -- The end of free: The Boston Globe tells readers to pay up -- Orange crush: from California dreaming to an epic nightmare -- Money isn't everything: why wealthy ownership doesn't guarantee success -- All in: Jeff Bezos takes his place as an "enemy of the people" -- Epilogue: The fall and rise of journalism in the age of Trump.

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. "Everybody lies" combines the informed analysis of Nate Silver's "The signal and the noise", the storytelling of Malcolm Gladwell's "Outliers", and the wit and fun of Steven Levitt and Stephen Dubner's "Freakonomics" in a book that 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 Contratapa