I did my MSc in Data Science dissertation on classification of fake reviews - I never looked at Fakespot in depth, but my cursory gut feeling is that ReviewMeta

I did my MSc in Data Science dissertation on classification of fake reviews - I never looked at Fakespot in depth, but my cursory gut feeling is that ReviewMeta.com is better (their blog is helpful). The problem in general is pervasive across all review based sites, like Yelp and TripAdvisor, but as the top poster points out, Amazon benefits from being a hands-off middleman, so they are not going to bother dealing with any problems until it becomes a PR nightmare. If anyone is interested, you can find my dissertation at: https://douglas-fraser.com/datadata/ https://douglas-fraser.com/datadata/ Only text based features were used, nothing involving other types of signals like reviewer name or spamming groups. I started out with 180 million Amazon reviews from 1997 onwards... but that got too big of a project, so the dataset used was a test set used in a lot of research on this topic. I will be expanding on the research in my blog, examining other sets of text based features I never got the time to use, and things like PCA as well.