Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method

ArXi:2603.08332v1 Announce Type: cross The proliferation of fake reviews, often produced by organized groups, undermines consumer trust and fair competition on online platforms. These groups employ sophisticated strategies that evade traditional detection methods, particularly in cold-start scenarios involving newly launched products with sparse data.