Category: Fraud

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.

Do leave a comment on this post – click on the post title then scroll down to leave your comment.

Fightback Ninja Signature

The Impact of Fraud on Victims

As part of the government’s annual figures on fraud, they include ‘experimental’ figures of different ways to analyse the data.  This includes statistics on the emotional and physical impact of fraud.

These show that where there has been financial loss, the most common effects are:-

  1. To feel ashamed, embarrassed or to blame oneself
  2. Loss of time / inconvenience
  3. Stopped using specific websites
  4. Time off work
  5. Physical health problems

Where there has been full or partial reimbursement of losses, there is a lot less of the negative feelings of embarrassment, shame and self-blame.

However, many people do not report any such symptoms.

If you are a victim of fraud – do not blame yourself as the fraudsters get a lot of practice in such deceit and successfully deceive people of all ages, races, level of education and expertise.

Do Share this post on social media – click on the post title then scroll down to the social media share buttons.

Fightback Ninja Signature