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Opinion Fraud Detection in Online Reviews by Network Effects

Opinion Fraud Detection in Online Reviews by Network Effects

This video was recorded at 7th International AAAI Conference on Weblogs and Social Media (ICWSM), Boston 2013. User-generated online reviews can play a significant role in the success of retail products, hotels, restaurants, etc. However,review systems are often targeted by opinion spammers who seek to distort the perceived quality of a product by creating fraudulent reviews. We propose a fast and effective framework, FRAUDEAGLE, for spotting fraudsters and fake reviews in online review datasets. Our method has several advantages: (1) it exploits the network effect among reviewers and products, unlike the vast majority of existing methods that focus on review text or behavioral analysis, (2) it consists of two complementary steps; scoring users and reviews for fraud detection, and grouping... Show More
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