Amazon Uses AI To Track Down Fake Reviews
silicon.co.uk - 1 year, 7 months ago - Read On Original Website
Amazon says it is using new AI-powered tools to help weed out fake reviews.
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How is Amazon addressing its fake review problem with AI?
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Summarizing Reviews
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To Track Down
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cracks down on
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to identify damaged goods
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testing an AI-generated product review feature
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using generative A.I
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may soon offer generative
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To Enhance Warehouse Operations and Reduce Shipments of Damaged Items
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sum up product reviews
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to crack down on
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feature that summarizes
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to sum up product reviews
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summaries of product
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uses artificial intelligence systems to prevent
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upping its use of artificial intelligence
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to summarize customer product reviews and highlight product pros and cons
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developing new AI-powered tools
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adds it before all the customer reviews but adds a disclaimer in fine print below it that reads "AI-generated from the text of customer reviews."
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Summarizing Product Reviews
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then
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investing in "sophisticated tools" to help flag suspicious behaviour
Separately, the company also confirmed it is testing generative artificial intelligence to summarise reviews on some products, in order to help people get the gist of what can run into thousands of user comments.
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What other potential uses are there for AI in e-commerce besides summarising reviews?
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identify damaged goods
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help weed out fake
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help users find the right product
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Enhance Warehouse Operations and Reduce Shipments of Damaged Items
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help customers find the right product
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identifies each product's most important features and criticisms
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crack down on fake
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help guide customers toward newer products
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prevent fake
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toys to tech devices
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to "hallucinate" details
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Everything from sign-in activity and review history to an author's relationship with other online accounts
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detect fake reviews and scams
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sniff out patterns of behaviour and suspicious wording
In April Amazon chief executive Andy Jassy said generative AI and large language models would "transform and improve virtually every customer experience".
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What are the potential implications of Amazon using generative AI to summarise reviews for e-commerce platforms?
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could be useful in guiding customers toward newer reviews
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mitigate shipment issues while enhancing productivity
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turning all reviews for each product into a few sentences that best describe consumer feedback
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reduce the amount of damaged items sent out, while speeding up picking and packing operations
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to help people get the gist of what can run into thousands of user comments
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crack down on fake
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prevent fake reviews on the platform that can intentionally mislead customers
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bamboozle consumers into buying inferior products
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highlight product pros and cons
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to cut down on the time shoppers spend sifting through reviews before making a purchase
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Amazon adds it before all the customer reviews but adds a disclaimer in fine print below it that reads "AI-generated from the text of customer reviews."
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to revolutionize the shopping experience for Amazon customers
The e-commerce giant has long used AI machine learning models to analyse thousands of data points to help track down fake reviews.
It said it is now equipping experts with "sophisticated fraud-detection tools" to help prevent fake reviews from appearing on its stores.
The company said it blocked more than 200 million suspected fake reviews last year and is taking continued legal action against fake review brokers, which often run multinational businesses buying and selling fake reviews purchased from consumers.
Such brokers approach consumer via third-party social media channels and encrypted messaging services and solicit them to write fake reviews in exchange for money, free products or other incentives, at times presenting themselves as legitimate businesses, Amazon said.
The company said it took legal action last year against 90 "bad actors" around the world facilitating fake reviews and sued more than 10,000 Facebook group administrators that were involved in selling fake reviews.
As of the end of May 2023 it said it has already taken legal action against 94 organisations in the US, Europe and China, including a UK group called Nice Rebate.
"Our legal actions globally are starting to drive results as we have shut down some of the largest global brokers, including Matronex and Climbazon," the company said.
It called for more cooperation between the private sector, consumer groups and governments over the problem.
Consumer group Which? welcomed Amazon's actions, but said fake reviews remain a huge problem, and estimated one in seven reviews on Amazon are fake.
Meanwhile Amazon confirmed it is testing generative AI to write summaries of what can run into thousands of user reviews per product.
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What is the new Amazon feature that uses AI to summarise product reviews?
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Summarizing Reviews
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generative
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Shopping app
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Generative
The summaries give indications of what reviews said they liked or disliked about a product and include a disclaimer saying the text is "AI-generated from the text of customer reviews".
"We are significantly investing in generative AI across all of our businesses," Amazon said in a statement.
Generative AI has become a huge area of interest for users, investors and companies since the release of ChatGPT by Microsoft-backed OpenAI last November.