kosinski in A Sentence

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    Feldman Lian Kosinski Stillwell 2017.

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    Kosinski and Stillwell.

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    Kosinski, however, says Facebook knew all about his research.

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    It meets in Moscow Brateevskaya floodplain, floodplain Krylatskaya, Kosinski lakes, river valley. Gangway in Mitin.

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    Kosinski agrees that when it comes to this amount of personal information, there is the danger of abuse.

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    Top Gun: Maverick will be directed by Joseph Kosinski, the man responsible for Cruise's 2013 film Oblivion.

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    Surprisingly, these predictions can be even more accurate than those of friends and colleagues(Youyou, Kosinski, and Stillwell 2015).

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    Other scholars have also called for more papers to include ethical appendices(Schultze and Mason 2012; Kosinski et al. 2015).

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    Kosinski was able to obtain the wealth of data by using a Facebook quiz and paying some users to take it with money from SCL Elections.

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    The top 20 shows how brands, big and small, local and global, can make a big impact using social video across the Open Web,” Kosinski added.

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    The top 20 list shows how brands, big and small, local and global, can make a big impact using social video across the web,” continued Kosinski.

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    So much, in fact, that on the basis of 300 likes, Kosinski's model is able to predict someone's personality profile with the same accuracy as a spouse.

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    In 2013, Cambridge University researchers Michal Kosinski, David Stillwell, and Thore Graepel published an article on the predictive power of Facebook data, using information gathered through an online personality test.

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    Kosinski, Stillwell and Graepel reported comparable or slightly better results, as have several other academic studies using digital footprints to predict personality(though some of those studies had more data than just Facebook“likes”).

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    Working with a dataset of over 58,000 Facebook users' Likes through an app called myPersonality, Kosinski and company developed a set of statistical models that were able to predict personality traits with uncanny accuracy.

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    And as Kosinski had found that men, the MAC Cosmetic liken, are very likely gay, Cambridge Analytica found out that a preference for US-made cars is the best sign of possible trump voters.

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    And just as Kosinski had determined that men who like MAC cosmetics on Facebook are probably gay, Cambridge Analytica found that a predeliction for American-produced cars is the best predictor of a possible Trump voter.

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    Kosinski's algorithm was able to predict whether a person was black or white with 95% accuracy, male or female with 93% accuracy, gay or straight with 88% accuracy and Democrat or Republican with 85% accuracy.

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    And just as Kosinski had determined that men who like MAC cosmetics on Facebook are more likely to be gay, Cambridge Analytica found that a preference for American-produced cars is a great indicator of a possible Trump voter.

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    As we spend more and more of our lives online- shopping, communicating, and browsing- we are providing huge stockpiles of data that researchers like Kosinski could potentially collect, feed into an algorithm, and use to produce a nuanced psychological profile.

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    While the results are fairly primitive(primarily because they only work with your Facebook data), Kosinski says that corporations could easily develop more sophisticated models that paint an accurate picture of applicants' psychometric profile that takes into account all of their online behavior.

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