Tag: fake reviews

Facebook and eBay Crackdown on Fake Reviews

The UK Competition and Markets Authority (CMA) have looked into the problem of paid fake reviews and taken action.

Everyone involved with product and service reviews has known for a long time that there are Facebook groups where you can hire people to create positive or negative reviews, about your business or your competitors in business. A Daily Mail article suggested the cost is about £13 per fake review.

There are billions of pounds of spending each year potentially affected by online reviews, so this is big business and the fake reviews can make a big difference to some businesses.

Facebook and eBay are taking steps to crack down on these fake and misleading product reviews, following an advisory notice from the CMA. Both companies have signed agreements to better identify, investigate and respond to fake reviews.

Facebook has since removed 188 groups and disabled 24 user accounts and eBay banned 140 users.

Facebook has agreed to tighten up its procedures for identifying the fake reviews and the groups where people conduct such business and to introduce better systems to detect and remove fraudulent content.

EBay has improved its detection methods to better identify and block listings for the sale or trade of online reviews.

In the USA, the Federal Trade Commission has also been cracking down on fake reviews appearing on Amazon.

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Fakespot Identifies Fake Reviews

The website at www.fakespot.com/ was created to “Bring trust back to the Internet” say the owners.

Fakespot is a data analytics company that wants to change the way people read reviews and similar content.

They believe that authentic user reviews are just about the best thing to come out of the Internet. However, the user review system is often abused by sellers that pay for reviews, by companies trying to make their competition look bad, and technologies that pretend to be real reviewers.

How to Use Fakespot

Fakespot can scan all of the reviews for any product or service you select on Yelp™ or Amazon™, Trip Advisor and Apple APP store and tell you whether the reviews are generally reliable or generally unreliable through the letter grade system.

With so many online shopping options, a strong or weak product review can have a huge impact on whether or not a purchase is made. The credibility of these reviews is undermined by businesses who leave fake reviews for themselves or for their competitors – or by individuals with an undisclosed bias.

Fakespot does not review products so cannot tell you how good a product is, it simply analyses the existing reviews looking for patterns that indicate authenticity or otherwise.

Fakespot uses various techniques to evaluate the authenticity of reviews, including:-.

  • English language pattern recognition
  • The profile of the reviewer
  • Correlation with other reviewer data

The algorithm uses machine learning to constantly improve itself by looking at profile clusters, sentiment analysis and cluster correlation. We use artificial intelligence that has been trained to pick up on patterns. The more data that flows into the system, the better the system gets at the detecting fakes.

Amazon unverified reviews are considered unreliable by Fakespot because when the system associates a product review with a product purchase, that review is from a “verified purchaser”. These reviews are in most cases reliable, since Amazon has already confirmed an actual purchase of the product being reviewed.

But, if an Amazon review is not from a ‘verified purchaser’ there is no way of knowing for sure if the reviewer even used the product. While it is possible that a reviewer could have purchased the product elsewhere and left a review on Amazon at a later date, without purchase verification, it is impossible to tell.

Also, Fakespot systems have shown that most paid reviews come from unverified purchasers.

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