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 …

Detecting health misinformation in online health communities: Incorporating behavioral features into machine learning based approaches

Y Zhao, J Da, J Yan - Information Processing & Management, 2021 - Elsevier
Curbing the diffusion of health misinformation on social media has long been a public
concern since the spread of such misinformation can have adverse effects on public health …

Neural networks for deceptive opinion spam detection: An empirical study

Y Ren, D Ji - Information Sciences, 2017 - Elsevier
The products reviews are increasingly used by individuals and organizations for purchase
and business decisions. Driven by the desire of profit, spammers produce synthesized …

A model for sentiment and emotion analysis of unstructured social media text

JK Rout, KKR Choo, AK Dash, S Bakshi… - Electronic Commerce …, 2018 - Springer
Sentiment analysis has applications in diverse contexts such as in the gathering and
analysis of opinions of individuals about various products, issues, social, and political …

Over a decade of social opinion mining: a systematic review

K Cortis, B Davis - Artificial intelligence review, 2021 - Springer
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

Fake review detection system for online E-commerce platforms: A supervised general mixed probability approach

J Luo, J Luo, G Nan, D Li - Decision Support Systems, 2023 - Elsevier
Online consumer reviews play an important role in helping consumers judge the quality and
authenticity of products on e-commerce platforms. However, the constant presence of fake …

Text mining in cybersecurity: A systematic literature review

L Ignaczak, G Goldschmidt, CAD Costa… - ACM Computing …, 2021 - dl.acm.org
The growth of data volume has changed cybersecurity activities, demanding a higher level
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …

The effect of fake reviews on e-commerce during and after Covid-19 pandemic: SKL-based fake reviews detection

H Tufail, MU Ashraf, K Alsubhi, HM Aljahdali - Ieee Access, 2022 - ieeexplore.ieee.org
The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other
precautionary measures lead to a global increase in online shopping. The increasing …

Resampling imbalanced data to detect fake reviews using machine learning classifiers and textual-based features

GS Budhi, R Chiong, Z Wang - Multimedia Tools and Applications, 2021 - Springer
Fraudulent online sellers often collude with reviewers to garner fake reviews for their
products. This act undermines the trust of buyers in product reviews, and potentially reduces …