arXiv:1812.00315v1 [cs.CL] 2 Dec 2018 Page 1 Fake News: A Survey of Research,
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …

In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …

False information can be created and spread easily through the web and social media
platforms, resulting in widespread real-world impact. Characterizing how false information …

Rating platforms enable large-scale collection of user opinion about items (eg, products or
other users). However, untrustworthy users give fraudulent ratings for excessive monetary …

With the development of e-commerce, fraud behaviors have been becoming one of the
biggest threats to the e-commerce business. Fraud behaviors seriously damage the ranking …

Artificial intelligence (AI) and machine learning (ML) are emergent tools for fake review
detection. This study provides a comprehensive overview of AI applications in fake review …

Ensuring the credibility of online consumer reviews (OCRs) is a growing societal concern.
However, the problem of fake reviewers on online platforms significantly influences e …

Fake consumer review detection has attracted much interest in recent years owing to the
increasing number of Internet purchases. Existing approaches to detect fake consumer …

Online review system enables users to submit reviews about the products. However, the
openness of Internet and monetary rewards for crowdsourcing tasks stimulate a large …

This research aims to provide a picture of the elements influencing customers' intentions to
purchase luxury products online using social exchange theory (SET). Second, we …