Big Data, New Data, and What the Internet Can Tell Us About Who We Really AreeBook - 2017
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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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