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 …
Spam review detection using LSTM autoencoder: an unsupervised approach
The review of online products or services is becoming a major factor in the user's purchasing
decisions. The popularity and influence of online reviews attract spammers who intend to …
decisions. The popularity and influence of online reviews attract spammers who intend to …
A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings
RA Duma, Z Niu, AS Nyamawe, J Tchaye-Kondi… - Soft Computing, 2023 - Springer
Recently, product/service reviews and online businesses have been similar to the blood–
heart relationship as they greatly impact customers' purchase decisions. There is an …
heart relationship as they greatly impact customers' purchase decisions. There is an …
A burst-based unsupervised method for detecting review spammer groups
With the development of e-commerce, online shopping has become a part of people's life.
As customers often refer to online product reviews for shopping, sellers often collude with …
As customers often refer to online product reviews for shopping, sellers often collude with …
Review spam detection using word embeddings and deep neural networks
A Barushka, P Hajek - … Intelligence Applications and Innovations: 15th IFIP …, 2019 - Springer
Review spam (fake review) detection is increasingly important taking into consideration the
rapid growth of internet purchases. Therefore, sophisticated spam filters must be designed to …
rapid growth of internet purchases. Therefore, sophisticated spam filters must be designed to …
Combating crowdsourced review manipulators: A neighborhood-based approach
We propose a system called TwoFace to uncover crowdsourced review manipulators who
target online review systems. A unique feature of TwoFace is its three-phase framework:(i) in …
target online review systems. A unique feature of TwoFace is its three-phase framework:(i) in …
Fake online reviews: A unified detection model using deception theories
Online reviews influence consumers' purchasing decisions. However, identifying fake online
reviews automatically remains a complex problem, and current detection approaches are …
reviews automatically remains a complex problem, and current detection approaches are …
Spammer detection via ranking aggregation of group behavior
Z Zhang, M Zhou, J Wan, K Lu, G Chen… - Expert Systems with …, 2023 - Elsevier
Online review networks have become a popular platform for disseminating information
which attracts large numbers of spammers to influence the reputation of the online products …
which attracts large numbers of spammers to influence the reputation of the online products …
Deceptive opinion spam detection approaches: a literature survey
Nowadays, a large number of customers purchase products and services online. Customers
can write their opinions in reviews to express the value and quality of purchased goods and …
can write their opinions in reviews to express the value and quality of purchased goods and …
Dynamic probabilistic graphical model for progressive fake news detection on social media platform
Recently, fake news has been readily spread by massive amounts of users in social media,
and automatic fake news detection has become necessary. The existing works need to …
and automatic fake news detection has become necessary. The existing works need to …