@article{M56C9AA8C,
title = "Online Opinion Fraud Detection Using Graph Neural Network",
journal = "Journal of KIISE, JOK",
year = "2023",
issn = "2383-630X",
doi = "10.5626/JOK.2023.50.11.985",
author = "Woochang Hyun,Insoo Lee,Bongwon Suh",
keywords = "opinion fraud,fraud detection,graph neural network,interpretability",
abstract = "This study proposed a graph neural network model to detect opinion frauds that undermine the of information and hinder users" decision-making on online platforms. The proposed method uses methods on a graph of relationships between online reviews to produce relational representations, are then combined with the characteristics of the center nodes to predict fraud. Experimental results on a real-world dataset demonstrate that this approach is more accurate and faster than existing state-of-art methods, while also providing interpretability for key relations. With the help of this study, practitioners will be able to utilize the analytical results in decision-making and overcome the general drawback of neural network-based models" lack of explainability."
}