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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

par Seth Stephens-Davidowitz

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1,1204417,872 (3.73)23
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.
Récemment ajouté pardarthjuno, bibliothèque privée, FatimaElf, rynhll, prengel90, amysan, daplz, lafstaff, vasantkumar, UnpromptedUnicorn
  1. 00
    Algorithmes, la bombe à retardement par Cathy O'Neil (alco261)
    alco261: Everybody Lies leans a bit optimistic, Weapons of Math Destruction leans a bit pessimistic - together they do a great job of providing a balanced understanding of big data issues
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The author's thesis is that people tell the Google search bar truthful, shameful things that they would never reveal to another human being in a survey. He analyzes Google searches and other sources of big data to come up with interesting, often lurid insights about people's hidden nature. I found it fascinating. ( )
  yaj70 | Jan 22, 2024 |
A light read regarding big data. He covers the positive uses and pitfalls of analyzing big data. The research does raise questions about the subjects covered. I just wish more methodology in the research used was shared. ( )
  wvlibrarydude | Jan 14, 2024 |
Сеть все знает «Могущество Google в том, что люди рассказывают гигантской поисковой системе то, что они не могли бы сказать никому другому», — замечает Стивенс-Давидовиц. Этот поисковик, утверждает автор, новый и уникальный инструмент для изучения человеческих страстей. Пока еще не все данные получается интерпретировать, но аналитики уже могут предсказать, за кого вы будете голосовать, — подоспели результаты разбора победы Трампа. Изучение Facebook-статусов приоткрыло завесу над секретами счастливых пар (большое число общих друзей является существенным показателем того, что отношения НЕ продлятся долго), а big data из других источников сообщает реальные размеры безработицы в стране: Pornhub регистрирует аномальные всплески посещаемости после сокращений. Сеть знает людей лучше их самих.
  Den85 | Jan 3, 2024 |
Makes me want to change career tracks to date analysis! ( )
  ahjohnston | Dec 21, 2023 |
In Everybody Lies, the author explores how big data (such as google searches) can tell us things about our society and culture. He uses examples, such as a comparison of the increase in racist search terms after both Obama's and Trump's elections, to demonstrate how this data can be used to give us a more accurate picture of ourselves. I think he does a very good job of demonstrating the potential of this information. Not being a data scientist, I am not sure how accurate his conclusions from the data are (there were some deductions that seemed a bit questionable to me), but I am convinced that he was successful in showing that there is a ton of information out there that can be used for good (rather than negative things I normally think of big data being used for). The author presented his information in a humorous and easy to understand way. I found it all very interesting. ( )
  Cora-R | Jun 12, 2023 |
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You might think a paper’s owner would have some influence on the slant of its coverage, but as a rule, who owns a paper ha less effect than we might think upon its political bias. Note what happens when the same person or company owns papers in different markets. Consider the New York Times Company. It owns what Gentzkow and Shapiro find to be the liberal-leaning New York Times, based in New York City, where roughly 70 percent of the population is Democratic. It also owned, at the time of the study, the conservative leaning, by their measure, Spartanburg Herald Journal, in Spartanburg, South Carolina, where roughly 70 percent of the population is Republican. There are exceptions, of course: Rupert Murdoch’s New Corporation owns what just about anyone would find to be the conservative New York Post. But, overall, the findings suggest that the market determines newspapers slants far more than owners do.

The study has a profound impact on how we think about the news media. Many people, particularly Marxists, have viewed American journalism as controlled by rich people or corporations with the goal of influencing the masses, perhaps to push people toward their political views. Gentzkow and Shapiro’s paper suggests, however, that this is not the predominant motivation of owners. The owners of the American press, instead, are primarily giving the masses what they want so that the owners can become even richer.

Oh, and one more question – a big, controversial, and perhaps even more provocative question. Do the American news media, on average, slant left or right? Are the media on average liberal or conservative?

Gentzkow and Shapiro found that newspapers slant left. The average newspaper is more similar, in the words it uses, to a Democratic congressperson than it is to a Republican congressperson.

“Aha!” conservative readers may be ready to scream, “I told you so!” Many conservatives have long suspected newspapers have been biased to try to manipulate the masses to support left-wing viewpoints.

Not so, say the authors. In fact, the liberal bias is well calibrated to what newspaper readers want. Newspaper readership, on average, tilts a bit left. (They have data on that.) And newspapers, on average, tilt a bit left to give their readers the viewpoints they demand.

There is no grand conspiracy. There is just capitalism.
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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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