![]() The secret sauce is not only in the engine but the ability to run the data in the quickest amount of time possible ensuring swift delivery of an accurate product. ![]() And the more data we collect via analyses completed, the more our engine is able to adapt and learn. The engine adjusts based on the prevailing patterns used by proven fake reviewers and their reviews, so while there is some base criteria, we’re able to use artificial intelligence to keep ahead of the imposters. We take all that data and run it through our proprietary engine which grades everything and looks for patterns. ![]() The quick answer is that every analysis does two simultaneous things: we analyze every single review posted and we review each reviewer and every review that reviewer has ever posted on that account. We corresponded with an official spokesperson for Fakespot to get a better idea of where these results come from. You can see from the results below that the headphones’ reviews didn’t score so well.įakespot’s analysis of the Rxvoit reviews. This site allows you to paste the link to any Amazon product and receive a score regarding the likelihood of fake reviews.įor example, we ran an analysis on some headphones we found during a recent research sweep for our guide about cheap in-ear headphones. You have a few ways to suss out what may be a fake review. Want to know more? Wirecutter headphones editor Lauren Dragan talks to Marketplace Tech about compensated Amazon reviews and how to tell real crowdsourced opinions from astroturfing. But by the time those companies are caught, their clients have already made a bunch of sales, and the fraudulent reviewers will likely pop up again under new names to repeat the process. In fact, in April, Amazon sued another round of companies that are accused of selling fraudulent reviews. And Amazon has a history of trying hard to deal with offenders and shut them down. Wirecutter contributor Brent Butterworth has written about this practice as well. The dummy accounts buy and review all sorts of things, and some of the more savvy pay-for-review sites even have their faux reviewers pepper in a few negative reviews of products made and sold by brands that aren’t clients to create a sense of “authenticity.” In fact, for extra cash, a company can pay one of these firms to write negative reviews of a competitor’s product. Buying the product makes it tougher for Amazon to police the reviews, because the reviews are in fact based on verified purchases. The compensated-review process is simple: Businesses paid to create dummy accounts purchase products from Amazon and write four- and five-star reviews. You can read our thoughts on them below.) (This arrangement is not to be confused with Amazon’s Vine program, in which companies provide products to users in exchange for an honest opinion, although those reviews can be problematic in their own way. Such compensated reviews-orchestrated by businesses that cater to companies that want more public positive feedback-violate Amazon’s terms of use but are difficult to police. This situation is likely the result of a compensated-review program. Have you ever seen some random product for sale that’s from some brand you’ve never heard of, and the company has no website-yet its widget has somehow garnered 15,000 five-star reviews since … last week? We sure have. However, as time has gone by, we’ve begun to read user reviews with a far more critical eye.Īlthough many reviews on Amazon are legitimate, more and more sketchy companies are turning to compensated Amazon reviews to inflate star ratings and to drum up purchases. Getting broad feedback on a product can be very useful when we're looking for widespread issues or seeing how a company handles warranty claims. Like a lot of people, we read Amazon reviews as part of our product research.
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