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Everybody Lies: Big Data, New Data, and What…
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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us… (udgave 2017)

af Seth Stephens-Davidowitz (Forfatter)

MedlemmerAnmeldelserPopularitetGennemsnitlig vurderingOmtaler
8202820,690 (3.69)18
A former Google data scientist presents an insider's look at what the vast, instantly available amounts of information from the Internet can reveal about human civilization and society.
Medlem:jamireads
Titel:Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Forfattere:Seth Stephens-Davidowitz (Forfatter)
Info:Dey Street Books (2017), Edition: Illustrated, 352 pages
Samlinger:Dit bibliotek
Vurdering:
Nøgleord:to-read

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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are af Seth Stephens-Davidowitz

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» Se også 18 omtaler

Engelsk (27)  Italiensk (1)  Alle sprog (28)
Viser 1-5 af 28 (næste | vis alle)
An interesting book to have read after taking a social statistics class this last semester. I don’t agree with all his conclusions about the future of research and I would like to see additional evidence for some of his research but overall an interesting book. ( )
  AKBouterse | Oct 14, 2021 |
Interesting book, but not that engaging. ( )
  amberwitch | Jul 14, 2021 |
Entertaining enough to listen to though I think some data was included for pure shock factor. Questionable "jokes". ( )
  Tosta | Jul 5, 2021 |
Big Data has become the kind of cliché you normally associate with Dilbert cartoons (the insights! the disruption! the leveraged synergies! - just add Big Data!), so it's nice to see someone drag the buzzword out of its reputational bog, clean it up for an audience, and show off its practical uses. While marketing departments and academics have always hungered for data to draw inferences from, the simultaneous rise of large data sets, cheap processing power, advanced statistical techniques, and readily available consumer data has created a seemingly endless new frontier in analyzing previously opaque human behavior. Survey data is notoriously unreliable: for example, the average number of self-reported sexual partners is famously higher for straight men than for straight women even though mathematically they must be equal (since everyone must go home with someone, this is charmingly known as the "high school prom theorem"). But since data can be collected in other ways that are harder to fake, like search history, browsing behavior, click rates, or app usage, an intelligent researcher can cut through the noise to shed new light on these problems. He comes up with all kinds of insights, from the discovery that lesbian porn is surprisingly popular with straight women, to the recommendation that wives should spend more time wondering if their husbands are alcoholic and less if they're gay, to the depressing conclusion that child abuse is going increasingly unreported. Under no circumstances should mindless number-crunching take the place of rational thought, but Big Data used properly is a valuable new tool to learn about ourselves, so this book comes off like a humbler yet more useful Freakonomics. ( )
  aaronarnold | May 11, 2021 |
This book does a good job making the case for big data being useful, as well as describing what it is, based primarily on insights from Google search results. Essentially, there are 4 main reasons it is effective.

What I found scary was that one of the reasons is "people are honest with search engines", but to a great degree that is because people don't understand the value and risk of data they incidentally provide. ( )
  octal | Jan 1, 2021 |
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A former Google data scientist presents an insider's look at what the vast, instantly available amounts of information from the Internet can reveal about human civilization and society.

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