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Why was this service created?

As many of you, we do a lot of our purchases online. Groceries, books, supplements.. you name it. The majority of the time, relying on reviews for products is the logical thing to do as with buying anything online, you cannot try it before you buy it.

However, within a few purchases we noticed some products weren't matching what they advertised to do and yet there were numerous 5 star reviews claiming the product was the second coming. Obviously, these reviews were fake. At the time, we did waste our hard-earned money on these products. We were flabbergasted, why aren't the selling platforms helping out consumers and weeding out these fraudulent reviews?

What criteria are used by Fakespot when analyzing reviews?

Fakespot utilizes numerous technologies to validate the authenticity of reviews.

The primary criteria is the language utilized by the reviewer, the profile of the reviewer,correlation with other reviewers data and machine learning algorithm that focuses on improving itself by detecting fraudulent reviews.

The technologies include: profile clusters, sentiment analysis, cluster correlation and artificial intelligence intertwined with these functionalities.

Does Fakespot only look for certain keywords when analyzing reviews?

No. There are multiple algorithms at work to determine if a review is authentic or not. These algorithms are joined with artificial intelligence that has been trained to be a deterministic system for detecting these fraudulent reviews. As more data flows into the system, the better it gets at the detection of these types of reviews. Linguistics play a huge part in every analysis, and is far more complex than looking for certain keywords.

Which websites are currently supported?

Amazon and Yelp are the only websites we currently analyze reviews from, but keep an eye out as we add more!

Can Fakespot be used by buyers located outside of the US?

Yes, Fakespot currently supports Amazon.com, Amazon.co.uk, Amazon.ca, Amazon.com.au and Amazon.in.

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