The thing is - chinese nationals using ingenuity to trick money out of americans, that's a recurring theme in the modern world.
Fake reviews aren't "ingenuity," they're dishonesty and fraud that exploit a high-trust culture.
High-trust cultures are valuable, hard to create, and easy to destroy. The reaction to all this online review fraud is going to be default mistrust and wasted effort by consumers who are going to be forced to constantly second-guessing information or get scammed.
I've found that the only way to get useful information out of most Amazon reviews is to look at the 1- & 2-stars, trying to filter out the fake competitor hits, and see if there are any consistent issues that aren't DEU issues. Then look at the 3- & 4-stars and see what seems to be good. That said, I expect it'll only be a matter of time until this strategy is no good.
The first one that comes to mind is forcing printer manufacturers to not bundle USB cables so they can separately sell them at a high markup
That said I have no idea if this would. Seems those 87k people mentioned above would just trust each other to raise their trust ratings.
It's more like Linkedin: if someone adds you and they are a mutual connection with a bunch of coworkers you like, that's good. But if their mutual connections are all social climbing spammers, you know they either are one themselves or don't know enough not to fall for that stuff.
People used to pay a premium for people that got out of their way and found the actually good stuff. Nowadays it's just more lucrative to build some trust and use it to defraud people as soon as possible.
I don't know where this path leads, but it's not looking nice.
E.g, Janet says product X works really well and she loves it, but you know she likes them with a certain feature that you don't like. therefore you should stay away because the product probably has that feature you don't like
You see the same issues on Yelp. Reviews are always a secondary indicator of quality compared to, say, experiencing it yourself or getting a recommendation from a friend. I’d guess that the review style that is best depends highly on the good or service being sold, much like establishing consensus, and there is no general purpose review pattern that works well.
There is a temporal dimension to this too. Everyone loves their new toy just as they unbox it. What interests me is reviews after having used it for a few weeks or months.
Amazon has all the data it needs to filter reviews by “people who have actually bought this, review left after n weeks”.
Ok sure, you can put it down to moderation, or you can put it down to size. What is the size of Angie's list to Amazon?
To me, the real bullshit is the expectation that anything other than a 100% 5/5 score is an indicator of serious fault.
If you leave 4/5 as an eBay review for example you have pretty much offended the seller.