• StarServal@kbin.social
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    1 year ago

    I noticed this while shopping for something last night and also immediately noticed a huge, glaring flaw in it. It doesn’t account for products with multiple different listings under the same product page. So for example you are looking at a page that has one option for pants and a second option for trucks (just an example) where the product reviews mix reviews for both, the AI bot will think they’re all for one product. You’ll see something like “Most customers feel they fit just right, while others think they don’t get enough gas mileage.”

      • StarServal@kbin.social
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        1 year ago

        Yes, but that’s not what I’m talking about. I’m talking about the AI review summary bot combining reviews for different products into a single breakdown summary.

        The issue of people abusing the combined reviews is a different issue entirely and not what I’m commenting on.

    • Igloojoe
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      1 year ago

      Gas mileage. These pants can only handle sooo many farts.

    • doctortofu@reddthat.com
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      1 year ago

      We continue to invest significant resources to proactively stop fake reviews sell more dropshipped fake garbage.

      Fixed it for them

  • AutoTL;DR@lemmings.worldB
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    1 year ago

    This is the best summary I could come up with:


    Available initially to “a subset of mobile shoppers in the U.S. across a broad selection of products,” the artificial intelligence tool creates a recap paragraph highlighting common themes from customer feedback.

    The idea behind the ML-generated summary is to let shoppers get the gist of their peers’ impressions without having to file through a swath of reviews manually.

    There’s also the question of whether AI-powered fake reviews (using ChatGPT or similar tools) are more challenging for Amazon to spot than human-written ones.

    The company’s strategy includes only unleashing the summarization tool on verified purchases while using AI models that allegedly detect sketchy reviews — and calling in human investigators when needed.

    “We continue to invest significant resources to proactively stop fake reviews,” Amazon Community Shopping Director Vaughn Schermerhorn said.

    “This includes machine learning models that analyze thousands of data points to detect risk, including relations to other accounts, sign-in activity, review history, and other indications of unusual behavior, as well as expert investigators that use sophisticated fraud-detection tools to analyze and prevent fake reviews from ever appearing in our store.


    I’m a bot and I’m open source!

  • sexy_peach@feddit.de
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    1 year ago

    The AI revolution will be tiny summary bots and even worse journalism. Nothing revolutionized at all…

  • arefx@lemmy.ml
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    1 year ago

    Buying from Amazon is such a shitty experience now I don’t understand how anyone still shops on it. Even Walmarts website is just as bad.

    • XTornado@lemmy.ml
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      1 year ago

      Well I am all ears for alternatives, so far it seems the less shitty.

  • FaceDeer@kbin.social
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    1 year ago

    Once again, a !technology thread that’s full of nothing but negativity. Wouldn’t most people have agreed before this that Amazon’s review system was kinda sucky and could use improvement? Will having these summaries make the reviews any worse? Let’s see how it goes.