Researchers at RIT release study to help spot fake reviews on Amazon
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ROCHESTER, N.Y. — With the holidays coming up fast, faculty at RIT are working to get you the tools to shop smart.
Researchers at the Saunders College of Business released a new study on detecting fake Amazon reviews.
That study, called, Detecting Fake Review Buyers Using Network Structure: Direct Evidence from Amazon, used machine learning technology to identify the phony feedback.
It revealed that all the fakes are connected to the same group of reviewers. So what can you do to spot them while holiday shopping? Look for patterns. Products with fake reviews tend to have the same reviewers. There aren’t very many participating.
They also say, they tend to be five-star reviews and use feature-focused language.
With the holidays coming up fast, faculty at RIT are working to get you the tools to shop smart.
According to the RIT researchers, e-commerce platforms can use the research “as a flagging mechanism,” and “the research increases customers’ awareness of these harmful initiatives.”
“They could be more vigilant about five-star reviews and be aware that five-star reviews could be paid,” said Ali Tosyali, one of the authors.