Recently, Amazon announced that it has put AI tools into use to detect and identify fake reviews, and has achieved initial results.
In recent years, Amazon has been working to crack down on various fake review "brokers" that use third-party platforms such as social media to tout their business.
When these fake reviews flood the platform, they influence consumers’ purchasing decisions. Consumers think they are seeing genuine reviews left by other shoppers, but in fact, it is just a "small essay" written by the intermediary company in order to increase the rating of the listing. To solve this problem, Amazon formed a machine learning team and invested in building a big data model that uses some information to detect potential false reviews on the platform.
In 2022, Amazon reported more than 23,000 social media groups that provided review-brushing services, with more than 46 million members spread across multiple Amazon sites around the world.
Amazon said that the AI tool it invested in developing will determine whether a review is fake by detecting a series of information, including the review record, login status, relationship with the seller, and other abnormal behavior of the reviewer.
“We use machine learning to look for suspicious accounts and track the relationship between the purchasing account and the seller who left the review,” said Dhamesh Mehta, head of Amazon’s customer trust team .
“By combining human review and advanced machine learning, we believe our platform has the ability to detect fake reviews before consumers encounter them.”
However, the British consumer organization Which? believes that Amazon is not doing enough. Some statistical agencies estimate that more than 1/7 of all product reviews on the UK site are fake reviews.
Harry Kind, a spokesman for the group , said fake product reviews more than doubled the chances that consumers would buy inferior products.
In response, Amazon said that since applying AI tools, it has achieved very impressive results. In the past year, the platform has detected and blocked more than 200 million fake reviews through AI tools.
In the future, Amazon said it will continue to invest in the development of more "sophisticated" tools to protect the rights of consumers. In addition, Amazon also hopes to strengthen cooperation with consumer groups and government departments in order to further expand the impact of this strategy.
As the supervision continues to increase, the survival space for sellers and service providers who make a living by brushing reviews will definitely become smaller and smaller. At that time, some sellers with regular operations will have more room to play. Amazon Fake reviews AI |
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