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*-star reviews on all of the major review sites are 2-dimensional. They should be 3 dimensional (0-x stars) + time. This way if clusters of 5-star reviews sho
by perpetualcrayon 8y ago
*-star reviews on all of the major review sites are 2-dimensional. They should be 3 dimensional (0-x stars) + time. This way if clusters of 5-star reviews show up in an extremely short period of time it's a red flag. Instead of seeing a static "this product/service got x stars", we should be able to see "this product/service, within the last 1 month, received on average x stars". And then you can extrapolate, oh they received on average 2 stars before they upgraded their product, and now the product is getting 4 stars. Or something like: "this restaurant was getting on average 1.5 stars last year, but recently they're getting glowing reviews. Maybe they fired the manager?".
- bootlooped 8y agoFake review services have already figured out how to slow-drip reviews. If you put a mediocre product on Amazon and buy reviews, there will be no legit review history to compare against either. It's a tough nut to crack if the fake reviews are linked to real purchases already.
- perpetualcrayon 8y agoI'd say by slow dripping the reviews won't they have to contend more with the "real" reviews? After all by pushing a bunch of 5 stars quickly the average will be bumped up substantially and be unaffected by real reviews. At least in this case they'll have to contend with legit reviews and will not be as easy to sprout all the way to the top of the search results for same reason.
- jobigoud 8y agoIt's the same no? If there are 10 times more fake reviews than legit ones and they can spread them over time, you can't use the distribution to detect it.
- perpetualcrayon 8y agoI think there are probably a number of reasons it's different. 1) 1000 5-star reviews with maybe a handful of 3,2,1 star reviews trickling in as actual consumers realize their mistake is less of a signal not to buy than if I see another low review trickled in amongst the 10-20 5-star reviews. 2) The company defrauding by purchasing the reviews is not going to make their money back as quickly probably since they won't end up on top of search results as often. So these companies will be stretched a lot thinner and probably recoup their expenses a lot slower than if they start instantly showing up on top of peoples' search results. And in order to keep from "floating" a bunch of free stuff without reviews they'll have to be extremely coordinated about how they distribute their products and request recipients to provide the reviews in order to make it a worth while pursuit.