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See reviewmeta.com it analyzes Amazon reviews


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I'm not saying this excuses amazon, but reviewmeta.com helps a lot to extract truth from reviews.

fakespot.com does this for you. Just paste in the URL for the amazon product and it will analyze the reviews.

Also the way Amazon averages reviews is... interesting to say the least.

https://www.amazon.com/gp/aw/reviews/B01B6ZI2Y8/ref=cm_cr_dp...


I've been using https://reviewmeta.com/ for a while now.

It removes reviews from most products, and shows you what it thinks the most trustworthy, and least trust worthy reviews are.

It's pretty inexcusable that Amazon hasn't implemented a similar approach. They certainly have enough resources.


Fellow hackers, I created this site that analyzes reviews of an Amazon product.

The algorithm analyzes language and many other variables improving over time due to machine learning implementation.

Primary aim is to distinguish fake reviews (aka, reviews that were paid for the purpose of inflating a product ranking) from the legit reviews.


Might be worth checking out ReviewMeta - it scans Amazon product reviews for unnatural review patterns and provides a report highlighting suspicious activity. They also offer a browser extension.

You can see a reviewers review history on Amazon.

I end up using fakespot.com to analyze Amazon reviews. I have had good luck so far.

As for non-amazon products, I will usually ask a friend or co-worker.


Amazon is unfortunately not using any metadata information for reviews (probably to prevent easy scraping for competing companies). You can only get it from from html (At least from what I can see).

This is why I use tools like fakespot and reviewmeta to make sure Amazons reviews are somewhat accurate. Sure, it's not fool proof, but these tools attempt to filter the obvious bad reviews.

I don't see any evidence that that site did comprehensive reviews and analysis. Just a bunch of Amazon affiliate links.

Since I haven't seen it posted yet, an invaluable tool for sifting through fake vs real Amazon reviews is fakespot.com. They use AI to score every product and crawl an item's review tree (reviews left by the same people for other products) to verify the authenticity of individual reviewers. I've sifted out a lot of shady products AND sellers using this. (I'm not affiliated in any way with them.)

  >Amazon's product offering is also seemingly getting worse, lots of five-star rated products which feature obviously paid reviews...
I find ReviewMeta[0] pretty useful for flagging up this kind of thing and returning a rating which is more fairly weighted.

[0] https://reviewmeta.com/


They are also in telegram. Just search "Amazon reviews" in the public groups, you will find plenty of results.

I also use ReviewMeta and it does handle review hijacking. It's not a great experience as a customer, but if I combine ReviewMeta and Amazon reviews and search I still get pretty good products. My basic guidelines are that it needs at least 4 stars (preferably closer to 4.2-4.7) and the product can't be a "fail" on ReviewMeta. I also am wary if ReviewMeta is a "warn".

I don't trust Amazon reviews without a review checker anymore, they used to be much better. The highest reviewed products are often some of the worst. Any product with a 4.8 or better is immediately suspect (though some are fine, especially if they don't have as many reviews).


Amazon weights reviews based on the reviewer:

https://www.wired.com/story/amazon-stars-ratings-calculated/


There's some huge datasets of Amazon reviews available. Stanford has a big scrape out there, plus there's one from Amazon themselves in the AWS datasets.

I wish there was a similar analysis for comments left on boards like this one and reddit (which I left earlier this year because the website just isn't what it used to be).

Although, I would say it's an interesting take on Amazon reviews. A place not many people believe could be as popping as it is.


Amazon is not strictly a ratings and reviews company. I don't know in total how many reviews they have.
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