Fake online reviews: Literature review, synthesis, and directions for future research

Y Wu, EWT Ngai, P Wu, C Wu - Decision Support Systems, 2020 - Elsevier
Fake online reviews in e-commerce significantly affect online consumers, merchants, and,
as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still …

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 …

Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews

JW Bi, Y Liu, ZP Fan, J Zhang - Tourism Management, 2019 - Elsevier
This paper proposes a methodology for conducting importance-performance analysis (IPA)
through online reviews. The methodology is composed of three stages:(1) mining useful …

A comprehensive Benchmark for fake news detection

A Galli, E Masciari, V Moscato, G Sperlí - Journal of Intelligent Information …, 2022 - Springer
Nowadays, really huge volumes of fake news are continuously posted by malicious users
with fraudulent goals thus leading to very negative social effects on individuals and society …

Phishing website detection using support vector machines and nature-inspired optimization algorithms

S Anupam, AK Kar - Telecommunication Systems, 2021 - Springer
Phishing websites are amongst the biggest threats Internet users face today, and existing
methods like blacklisting, using SSL certificates, etc. often fail to keep up with the increasing …

Entrepreneurial fraud: A multidisciplinary review and synthesized framework

DJ Scheaf, MS Wood - Entrepreneurship Theory and …, 2022 - journals.sagepub.com
The practical relevance of entrepreneurial fraud has stimulated a wide array of research
occurring in disciplinary silos. We take stock of the current state of the entrepreneurial fraud …

An attention-based unsupervised adversarial model for movie review spam detection

Y Gao, M Gong, Y **e, AK Qin - IEEE transactions on …, 2020 - ieeexplore.ieee.org
With the prevalence of the Internet, online reviews have become a valuable information
resource for people. However, the authenticity of online reviews remains a concern, and …

A machine learning based depression analysis and suicidal ideation detection system using questionnaires and twitter

S Jain, SP Narayan, RK Dewang… - 2019 IEEE students …, 2019 - ieeexplore.ieee.org
Depression as a disorder has been a great concern in our society and has been perpetually
a hot topic for researchers in the world. Despite the massive quantity of analysis on …

A comprehensive survey of various methods in opinion spam detection

A Mewada, RK Dewang - Multimedia Tools and Applications, 2023 - Springer
With the development of technology, e-marketing and business competition, reviews
significantly affect people's lives. Consumers of e-commerce sites share their experiences …

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

J Li, P Lv, W **ao, 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 …