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Amazon Shopper Shares Tips for Spotting Fake Reviews

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With fake reviews running rampant, how can you be sure that you’re getting all of the relevant information before you 1-click Amazon order?

If you’re like most people these days and you spend a lot of your time ordering stuff from Amazon, then you probably rely on other people’s reviews to decide on purchases before you make them.

Photo Credit: Mompact

Amazon no longer allows incentivized reviews – reviews in exchange for free or discounted products – and they claim that only 1% of their reviews are fake, but that means there are still millions of fake reviews floating around the website.

Below are a few ways you can try to weed out the ones that aren’t worth your time.

#1. Remember that fake reviews don’t tell the whole story.

Even if a product does seem to have some questionable reviews, that doesn’t mean some of the reviews aren’t reliable or that you shouldn’t buy it. Read the reviews that seem trustworthy, especially the ones that fall in the middle of the spectrum (3 or 4 stars). Trust your gut, basically.

All you have to do is paste the URL of an Amazon product into either site and the sites will toss out suspicious reviews and offer an adjusted rating. That said, algorithms can only do so much – they won’t catch them all.

#2. Look for patterns and suspicious language on your own.

For example, if you see a bunch of reviews for the same product that say “great quality for the price” over and over, or, even more odd, something like “i bought these for my iphone 7 plus and they transfer data to the computer really well and get it charged without any problem” in multiple reviews, you’re probably not getting a fair assessment.

Also, pro-tip, if you see a“Vine” badge on a review, the person probably got the product for free.

#3. Let other sites analyze an item for you.

The fake reviews have certain things in common, like specific, repeated phrases or that they come from users who have reviewed multiple products from the same brand. There are some online tools that can help analyze massive amounts of data in order to detect these types, like Fakespot and ReviewMeta.

Photo Credit: Maketecheasier

You can also go old school and ask your friends for recommendations, but also take heart: Amazon lets you return just about anything.