Big Data, New Data, and What the Internet Can Tell Us About Who We Really AreBook - 2017 | First edition.
Part II: The powers of big data. Was Freud right?
Digital truth serum
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?
From the critics
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"At the risk of sounding grandiose, I have come to believe that the new data increasingly available in our digital age will radically expand our understanding of humankind. The microscope showed us there is more to a drop of pond water than we think we see. The telescope showed us there is more to the night sky than we think we see. And new, digital data now shows us there is more to human society than we think we see. It may be our era's microscope or telescope—making possible important, even revolutionary insights."
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Big data has been much hyped as the next big thing in science, but Everybody Lies sets out to show what can be done with big data that wasn’t possible before, while also acknowledging its shortcomings, and the ways it can be complemented by traditional small data collection techniques. Seth Stephens-Davidowitz makes the argument that the Google dataset he has been working with is particularly valuable, because unlike even anonymous surveys, users have an incentive to be honest, and little or no sense of wanting to impress anyone. To get the information they want from Google, they must query honestly about even the most taboo subjects, from sex to race to medical problems. Facebook, for example, is not nearly as useful, because people are consciously presenting a certain version of themselves to their friends. But if you want Google to bring you back the “best racist jokes,” you have to tell it so. You can’t hide, and still get what you want. The result is a partial but unprecedented glimpse into the human mind.
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