• @[email protected]
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    601 year ago

    I’m skeptical… how are the fake reviews identified and how do you avoid flagging real ones?

    • @[email protected]
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      641 year ago

      They’re just building Fakespot into the browser so the same way Fakespot does, by analyzing the user who posted the review

      • DreamButt
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        181 year ago

        What does “analyzing” mean?

      • AlmightySnoo 🐢🇮🇱🇺🇦
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        141 year ago

        It could be something like that (hint: they already deployed an offline neural network in Firefox with which you can translate web pages), and the idea would be to detect AI-generated content.

          • @xantoxis
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            131 year ago

            Well it will be, because it’s detecting AI-generated content indirectly. What it’s directly detecting are bot posters, which are much easier to spot.

            “AI detectors” have the uphill job of having to figure out whether something is generated by looking only at what was generated. Fakespot and tools like it get to use the metadata, which has many telltales that bots aren’t even trying to hide.

          • @Draghetta
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            11 year ago

            IDK chief. It seems like one of those things that are hard to do in theory as you said, but relatively easy in practice.

            I mean just about any human who has played a bit with ChatGPT nowadays is able to identify ChatGPT generated paragraphs within a few words. I don’t suppose it would be much harder for a machine.

        • @[email protected]
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          11 year ago

          Elsewhere in this thread someone explained that its just integrating FakeSpot into the browser, which uses basic email spam detection techniques to detect fake reviews by analyzing how the reviewer posts. Is there a set schedule they post reviews by, what else have they reviewed, how new is the account, etc. A 2 day old account with 20 reviews would be an obvious source of fake reviews for example