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15. kumar n., venugopal d., qiu l., kumar s., detecting review manipulation on online platforms with hierarchical supervised learning. j. manage. inf. syst. 35, 350â380 (2018). [google scholar] this analysis shows that just two clusters (that contain only 3.4% of products) contain about 70% of the products identified as fake review buyers. in addition, within one of these clusters, a substantial majority of products are identified as buying fake reviews (83%). in si appendix, table s4, we report the mean of the feature values in each cluster. the two clusters that contain the majority of fake-review buyers are highly distinctive, and only in terms of their network features. this suggests that a platform could use unsupervised methods to identify these tightly connected clusters of products without any ground truth data and use this information to identify likely fake review buyers.