New Algorithm Recognizes Both Good and Bad Fake Reviews (thestack.com)

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.

Comments

Re:What about obvious fake humorous reviews

[rtb61]

Don't worry Amazon is just interest in rebuilding the 'reputation' of their reviews and not in the actual real genuiness or accuracy of the reviews, they just want to believe the reviews and buy junk. So they are basically engaging in a public relations exercise to give their reviews a positive review because so many people have given up on IMDB because the publicly accepted default review is a 10 out of 10 by a one off 'er' reviewer, so bad that it IMDB unusable as a movie review system. Basically skip the first bunch of pages (seriously up to and over 10 pages) as PR bullshit to get to real actual reviews.