Journal
DATA MINING AND KNOWLEDGE DISCOVERY
Volume 35, Issue 5, Pages 1830-1881Publisher
SPRINGER
DOI: 10.1007/s10618-021-00772-6
Keywords
Cyber-security; Opinion spamming; Fraud; Spam detection; False information; Disinformation
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As online review systems become more popular, competitors resort to unethical practices to manipulate consumers, prompting the research community to reassess current strategies for combating fake reviews.
The increasing popularity of online review systems motivates malevolent intent in competing sellers and service providers to manipulate consumers by fabricating product/service reviews. Immoral actors use Sybil accounts, bot farms, and purchase authentic accounts to promote products and vilify competitors. Facing the continuous advancement of review spamming techniques, the research community should step back, assess the approaches explored to date to combat fake reviews, and regroup to define new ones. This paper reviews the literature on Fake Review Detection (FRD) on online platforms. It covers both basic research and commercial solutions, and discusses the reasons behind the limited level of success that the current approaches and regulations have had in preventing damage due to deceptive reviews.
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