An anonymous reader writes: Researchers from the university of Sao Paolo have developed an algorithm able to identify both good and bad online reviews in the massive daily chatter of millions of peer-community posts, and in lateral mendacities at social network sites such as Google+ and Facebook reposts and 'likes'. Two of the datasets tested in the research were from Amazon, which has a vested interest in restoring the reputation of its community reviews, and has recently taken action on the matter.
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