Credibility in social media: opinions, news, and health information—a survey

M Viviani, G Pasi - Wiley interdisciplinary reviews: Data mining …, 2017 - Wiley Online Library
In the Social Web scenario, where large amounts of User Generated Content diffuse through
Social Media, the risk of running into misinformation is not negligible. For this reason …

Opinion leader detection: A methodological review

SMH Bamakan, I Nurgaliev, Q Qu - Expert Systems with Applications, 2019 - Elsevier
A social network as an essential communication platform facilitates the interactions of online
users. Based on the interactions, users can influence or be affected by the opinions of …

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 …

Spam review detection techniques: A systematic literature review

N Hussain, H Turab Mirza, G Rasool, I Hussain… - Applied Sciences, 2019 - mdpi.com
Online reviews about the purchase of products or services provided have become the main
source of users' opinions. In order to gain profit or fame, usually spam reviews are written to …

Graph-based review spammer group detection

Z Wang, S Gu, X Zhao, X Xu - Knowledge and Information Systems, 2018 - Springer
Online product reviews nowadays are increasingly prevalent in E-commerce websites.
People often refer to product reviews to evaluate the quality of a product before purchasing …

Evaluating credibility of social media information: current challenges, research directions and practical criteria

H Keshavarz - Information Discovery and Delivery, 2021 - emerald.com
Purpose Social media pose serious challenges to information evaluation, which can make
credibility evaluation more difficult compared to other information resources. As a result, this …

Identifying groups of fake reviewers using a semisupervised approach

P Rathore, J Soni, N Prabakar… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Online product reviews have become increasingly important in digital consumer markets
where they play a crucial role in making purchasing decisions by most consumers …

A burst-based unsupervised method for detecting review spammer groups

S Ji, Q Zhang, J Li, DKW Chiu, S Xu, L Yi, M Gong - Information Sciences, 2020 - Elsevier
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 …

Label propagation-based approach for detecting review spammer groups on e-commerce websites

F Zhang, X Hao, J Chao, S Yuan - Knowledge-Based Systems, 2020 - Elsevier
Online product reviews are very important information resources on e-commerce websites
and significantly influence consumers' purchase decisions. Driven by interests, however …

Exploring groups of opinion spam using sentiment analysis guided by nominated topics

J Li, P Lv, W Xiao, L Yang, P Zhang - Expert Systems with Applications, 2021 - Elsevier
Currently, it is common to see untruthful opinions (also known as review spam, fraud or
shilling attack) that resemble each other explicitly or implicitly across multiple business-to …