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Besides, reviews on brands and advertisements also attract many researchers more interests, because these types of reviews have the potential of fraud. Some spammers may utilize the online review platform to broadcast their own illegal brand or stealing personal social contact information, or even induce consumers to conduct offline transaction, etc. These tricks bring some confusion to people, and make an enormous challenge for anti-spam framework [5]. In arrange to recognize different extortion designs, many scholars work on some adversarial tasks. The increasingly developed online platform generates a large amount of online reviews every moment, e.g., Yelp and Amazon. Consumers gradually develop the habit of reading previous reviews before making a decision of buying or choosing various products. Online reviews play an vital part in determining consumers' purchase choices in e-commerce, yet many online reviews are intentionally created to confuse or mislead potential consumers. Moreover, driven by product reputations and merchants' profits, more and more spam reviews were inserted into online platform. This kind of reviews can be positive, negative or neutral, but they had common features: misleading consumers or damaging reputations. In the past decade, many people conducted research on detecting spam reviews using statistical or deep learning method with various datasets. In view of that, this article first introduces the task of spam online reviews detection and makes a common definition of spam reviews. Then, we comprehensively conclude the existing method and available datasets. Third, we summarize the existing network-based approaches in dealing with this task and propose some direction for future research. 欢迎你提供有关沉浸式阅读器的反馈.内容是否正确显示在此网页上? Ali Osman was shot and killed by Phoenix police on Sept. 24 during a confrontation with officers. The US regulatory agency opened up public comment on a proposed rule that would enact "stiff civil penalties." Ecommerce growth meant more new sites with more reviews. As marketplaces continue to expand, there will likely be more reviews. For instance, Albertsons implemented reviews on its ecommerce stores this year. But the illicit actors realized that it was possible to game the system. They set up incentive structures that paid people to buy a product, and leave a review that wasn't true. how to make money on amazon fba 2023