Fake review detection on online E-commerce platforms: a systematic literature review
H Paul, A Nikolaev - Data Mining and Knowledge Discovery, 2021 - Springer
The increasing popularity of online review systems motivates malevolent intent in competing
sellers and service providers to manipulate consumers by fabricating product/service …
sellers and service providers to manipulate consumers by fabricating product/service …
[HTML][HTML] A systematic literature review about the consumers' side of fake review detection–Which cues do consumers use to determine the veracity of online user …
Background Consumers rely heavily on online user reviews when shopping online and
cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research …
cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research …
Bimodal distribution and co-bursting in review spam detection
Online reviews play a crucial role in helping consumers evaluate and compare products and
services. This critical importance of reviews also incentivizes fraudsters (or spammers) to …
services. This critical importance of reviews also incentivizes fraudsters (or spammers) to …
Deep structure learning for fraud detection
Fraud detection is of great importance because fraudulent behaviors may mislead
consumers or bring huge losses to enterprises. Due to the lockstep feature of fraudulent …
consumers or bring huge losses to enterprises. Due to the lockstep feature of fraudulent …
Temporal burstiness and collaborative camouflage aware fraud detection
With the prosperity and development of the digital economy, many fraudsters have emerged
on e-commerce platforms to fabricate fraudulent reviews to mislead consumers' shopping …
on e-commerce platforms to fabricate fraudulent reviews to mislead consumers' shopping …
Holoscope: Topology-and-spike aware fraud detection
As online fraudsters invest more resources, including purchasing large pools of fake user
accounts and dedicated IPs, fraudulent attacks become less obvious and their detection …
accounts and dedicated IPs, fraudulent attacks become less obvious and their detection …
Deceptive consumer review detection: a survey
Consumer reviews are considered to be of utmost significance in the field of e-commerce, for
they have a stronghold in deciding the revenue of a business. When arriving at a purchasing …
they have a stronghold in deciding the revenue of a business. When arriving at a purchasing …
[PDF][PDF] Sentiment analysis and fake amazon reviews classification using SVM supervised machine learning model
MR Tabany, M Gueffal - Journal of Advances in Information Technology, 2024 - jait.us
This project attempts to conduct sentiment analysis of short and long Amazon reviews and
report their effects on the supervised learning Support Vector Machines (SVM) model, to …
report their effects on the supervised learning Support Vector Machines (SVM) model, to …
Unsupervised user behavior representation for fraud review detection with cold-start problem
Detecting fraud review is becoming extremely important in order to provide reliable
information in cyberspace, in which, however, handling cold-start problem is a critical and …
information in cyberspace, in which, however, handling cold-start problem is a critical and …
Identifying ground truth in opinion spam: an empirical survey based on review psychology
J Li, X Wang, L Yang, P Zhang, D Yang - Applied Intelligence, 2020 - Springer
Because it is very harmful, opinion spam, especially that involving untruthful reviews, has
attracted much attention in the last decade. However, the lack of annotations, ie, the ground …
attracted much attention in the last decade. However, the lack of annotations, ie, the ground …