My acquaintance and I gaveCornell ’s fake - review article - chase algorithma spin , and I have to say , we absolutely be intimate it ! Fake and inflated revue can be such a annoyance , so it ’s really great that an awesome university like Cornell is reckon them out !
It ’s soooo thwarting when you look for user reviews for a product or eating place and they move around out to be bought - and - pay - for , mostly shoddy fluff . But they can also be hard to distinguish from real reviews . Researchers at Cornell — who did such a majuscule job!—hired 400 freelance writers to bemock up some super lame imitation review and mixed them with ( what they assumed were ) real reviews . Humans totally could n’t distinguish the difference ! That ’s why they came up with their totally awesome algorithm , which works groovy !
Fake reviews tend to be a narrative about an experience , but do n’t proffer much particular . They also use “ I ” and “ me ” a lot , to hammer home the first somebody account , which completely gain sentience to me , and I do n’t jazz why I did n’t think of it myself ! The algorithm works about 90 percent of the fourth dimension — WOW!—and even though a mickle of its variables are logically intuitive , it will be totally interesting to see if reappraisal platform start implementing some word form of this awesome engineering . I trust so , because I ’d totally use it again ! [ NY Times ]
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