What online reviewer behaviors really matter? Effects of verbal and nonverbal behaviors on detection of fake online reviews

D Zhang, L Zhou, JL Kehoe, IY Kilic - Journal of Management …, 2016 - Taylor & Francis
The value and credibility of online consumer reviews are compromised by significantly
increasing yet difficult-to-identify fake reviews. Extant models for automated online fake …

Smoke screener or straight shooter: Detecting elite sybil attacks in user-review social networks

H Zheng, M Xue, H Lu, S Hao, H Zhu, X Liang… - arXiv preprint arXiv …, 2017 - arxiv.org
Popular User-Review Social Networks (URSNs)---such as Dianping, Yelp, and Amazon---
are often the targets of reputation attacks in which fake reviews are posted in order to boost …

Mush: Multi-stimuli hawkes process based sybil attacker detector for user-review social networks

Z Qu, C Lyu, CH Chi - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
User-Review Social Networks (URSNs) now become the targets of Sybil attacks, where fake
reviews are posted by attackers to raise the reputation of listed services or products. Unlike …

Detecting deceptive reviews using generative adversarial networks

H Aghakhani, A Machiry, S Nilizadeh… - 2018 IEEE security …, 2018 - ieeexplore.ieee.org
In the past few years, consumer review sites have become the main target of deceptive
opinion spam, where fictitious opinions or reviews are deliberately written to sound …

Towards collusive fraud detection in online reviews

C Xu, J Zhang - 2015 IEEE international conference on data …, 2015 - ieeexplore.ieee.org
Online review fraud has evolved in sophistication by launching intelligent campaigns where
a group of coordinated participants work together to deliver deceptive reviews for the …

Detecting campaign promoters on twitter using markov random fields

H Li, A Mukherjee, B Liu, R Kornfield… - … conference on data …, 2014 - ieeexplore.ieee.org
As social media is becoming an increasingly important source of public information,
companies, organizations and individuals are actively using social media platforms to …

Trueview: Harnessing the power of multiple review sites

AJ Minnich, N Chavoshi, A Mueen, S Luan… - Proceedings of the 24th …, 2015 - dl.acm.org
Online reviews on products and services can be very useful for customers, but they need to
be protected from manipulation. So far, most studies have focused on analyzing online …

IFSpard: An information fusion-based framework for spam review detection

Y Zhu, H Liu, Y Du, Z Wu - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Online reviews, which contain the quality information and user experience about products,
always affect the consumption decisions of customers. Unfortunately, quite a number of …

A longitudinal study of the google app market

B Carbunar, R Potharaju - Proceedings of the 2015 IEEE/ACM …, 2015 - dl.acm.org
Recently emerged app markets provide a centralized paradigm for software distribution in
smartphones. The difficulty of massively collecting app data has led to a lack a good …

Mind your POV: convergence of articles and editors towards Wikipedia's neutrality norm

U Pavalanathan, X Han, J Eisenstein - … of the ACM on Human-Computer …, 2018 - dl.acm.org
Wikipedia has a strong norm of writing in a" neutral point of view"(NPOV). Articles that violate
this norm are tagged, and editors are encouraged to make corrections. But the impact of this …