Spam Rank: The Google-Backed Research Fighting Fake Reviews

Image for article titled Spam Rank: The Google-Backed Research Fighting Fake Reviews

Fake online reviews are a pain in the ass: they make interent shopping harder than it already is. But thankfully there are people out there who are developing ways of spotting and blocking rogue five-star reviews, and a new algorithm backed by Google seems to be the most effective yet.


Developed at the University of Illinois, a new spam-ranking algorithm called GSRank—Group Spam Rank to its friends—can filter out the fraudulent reviews. In fact, it "consistently outperforms all existing methods" according to the team behind it.

So, how does it work? It actually uses a system which allows it to spot dodgy reviews by identifying entire groups that are posting dubious comments. It analyzes how closely together people post their reviews, when they're posted, and the similarity of review content in order to establish relationships between spammers and which products they comment on. You can read the full paper here.

From there, it can start working out which reviews, on which products, are spam. Currently there's no word on when such a system might make an appearance on a live site—but hopefully it will happen soon. [University of Illinois via The Register]

Image by Dusit/Shutterstock


Alf, in pog form

I thoroughly endorse this article and recommend it's informative content to all interested tech readers. It contains perfect wording and the same flawless syntax that I have come to expect from a magnificent site like Gizmodo. The pictures are always highly relevant to the story and also very colourful. Always a pleasure, thanks Gizmodo! AAAAAAAAAAAAAAAAAAAAAAA+++++++++++++++++++++++++