Everybody lies : big data, new data, and what the Internet reveals about who we really are /

"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. Howe...

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Detalles Bibliográficos
Autor principal: Stephens-Davidowitz, Seth
Otros Autores: Pinker, Steven, 1954-
Formato: Libro
Lenguaje:Inglés
Publicado: New York : Dey St./William Morrow, 2018.
Edición:1st Dey St. paperback ed.
Materias:
Aporte de:Registro referencial: Solicitar el recurso aquí
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100 1 |a Stephens-Davidowitz, Seth. 
245 1 0 |a Everybody lies :  |b big data, new data, and what the Internet reveals about who we really are /  |c Seth Stephens-Davidowitz ; foreword by Steven Pinker. 
246 3 0 |a Big data, new data, and what the Internet reveals about who we really are 
250 |a 1st Dey St. paperback ed. 
260 |a New York :  |b Dey St./William Morrow,  |c 2018. 
300 |a xiii, 338 p. :  |b il. ;  |c 21 cm. 
504 |a Incluye referencias bibliográficas e índice. 
505 0 |a Introduction: The outlines of a revolution -- Part I. Data, big and small: 1. Your faulty gut -- Part II. The powers of big data: 2. Was Freud right? -- 3. Data reimagined -- Bodies as data -- Words as data -- Pictures as data -- 4. Digital truth serum -- The truth about sex -- The truth about hate and prejudice -- The truth about the Internet -- The truth about child abuse and abortion -- The truth about your Facebook friends -- The truth about your customers -- Can We handle the truth? -- 5. Zooming in -- What's really going on in our counties, cities, and towns? -- How We fill our minutes and hours -- Our Doppelgangers -- Data stories -- 6. All the World's a lab -- The ABCs of A/B testing -- Nature's cruel, but enlightening, experiments -- Part III. Big data: handle with care: 7. Big data, big schmata? : what It cannot do -- The curse of dimensionality -- The overemphasis on what is measurable -- 8. Mo data, mo problems? : what We shouldn't do -- The danger of empowered corporations -- The danger of empowered governments -- Conclusion: How many people finish books? 
520 |a "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. 
650 0 |a Data mining  |x Social aspects. 
650 0 |a Big data  |x Social aspects. 
650 0 |a Internet  |x Social aspects. 
650 7 |a Minería de datos  |x Aspectos sociales.  |2 UDESA 
650 7 |a Grandes volúmenes de datos  |x Aspectos sociales.  |2 UDESA 
650 7 |a Internet  |x Aspectos sociales.  |2 UDESA 
700 1 |a Pinker, Steven,  |d 1954-