4.5 Review

Fake review detection on online E-commerce platforms: a systematic literature review

期刊

DATA MINING AND KNOWLEDGE DISCOVERY
卷 35, 期 5, 页码 1830-1881

出版社

SPRINGER
DOI: 10.1007/s10618-021-00772-6

关键词

Cyber-security; Opinion spamming; Fraud; Spam detection; False information; Disinformation

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据