Don't be fooled, Amazon's fake reviews.
Fake reviews are almost immediately obvious, and if you're willing to buy, do you read product reviews for hours to make a decision?
It cannot be said that even a person who says "Oh, looks good!" Will never trust a product that has earned five false stars. It's hard to stop the malicious behavior of malicious sellers now, but at least there are apps to prevent you from being fooled.
As the name implies, "Fakespot" is an app for iOS and Android that discovers fake reviews from malicious sellers and makes you aware before you buy a product. The developer of this app has provided the Chrone extension with the same function for a long time, but this app can also be used as an app due to the rapid increase in the number of people shopping on smartphones. The thing. Currently, the app is only compatible with Amazon mobile sites, but we are updating it to support shopping at Wal-Mart, eBay, BestBuy, and Sephora. Currently, the Chrone extension is also available on Amazon.co.jp, but the app is only compatible with Amazon.com. Browsing Amazon with Fakespot is almost the same as browsing Amazon with an app or browser, but there are two major differences. One tells you if the seller's review is okay, both from the product you're looking at and from the seller's entire catalog. Second, if the product has a decent review, it will tell you how many fake reviews are in the review.
The author of Gizmodo in the US was just looking for a sofa, so I searched for a sofa using FakeSpot. Amazon sells an infinite number of sofas, so I tried to find out which seller was suspicious. It didn't take long at all.
He thought he had found a sofa with a decent rating and said, "Most of the reviews are unreliable. Let's find out more before proceeding with the purchase."
Apparently, FakeSpot has determined that many of the four-star and five-star ratings on this sofa are fake. According to the startup that developed this app, it has the ability to train AI based on 8 billion reviews posted on the web and detect fake reviews. When analyzing a review (or reviewer), they look for suspicious patterns that may be fake, such as awkward spelling or grammar, or dozens of positive reviews all at once.
However, since it is AI that makes the decision, it is most important to refer to the results but not really receive everything, and to examine the reviews of the products you want to purchase by yourself.
