I did a MSc in ML and my dissertation was on classification of fake reviews: https://douglas-fraser.com/FakeReviews/index.html https://douglas-fraser.com/FakeR

I did a MSc in ML and my dissertation was on classification of fake reviews: https://douglas-fraser.com/FakeReviews/index.html https://douglas-fraser.com/FakeReviews/index.html Some years ago, there were some studies trying to estimate the percentage of fake reviews. It came out to 2% to 6%. I'm sure things have increased since then, it does look quite bad given all the anecdotes I have come across. But unless Amazon has thrown away the bulk of the 140 million or so reviews they have between 1995-2014, I doubt there really are more fake reviews than real ones now, in total. It would be interesting to do a follow up study to estimate the percentage, given all the blatant issues (such as reviews for other products, etc) Amazon is obviously ignoring. Given what I know, it shouldn't be that hard to process the obviously suspect things but the important question is always: how much profit is there for Amazon to do all that work, given it probably won't increase sales/revenue that much? It is not in Bezos' interest. The easiest thing would be to block off all of China's IP addresses....