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 …

A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making

E Kauffmann, J Peral, D Gil, A Ferrández… - Industrial Marketing …, 2020 - Elsevier
User-generated content about brands is an important source of big data that can be
transformed into valuable information. A huge number of items are reviewed and rated by …

[PDF][PDF] Fake reviews detection using supervised machine learning

AM Elmogy, U Tariq, M Ammar… - International Journal of …, 2021 - academia.edu
With the continuous evolve of E-commerce systems, online reviews are mainly considered
as a crucial factor for building and maintaining a good reputation. Moreover, they have an …

NetSpam: A network-based spam detection framework for reviews in online social media

S Shehnepoor, M Salehi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Nowadays, a big part of people rely on available content in social media in their decisions
(eg, reviews and feedback on a topic or product). The possibility that anybody can leave a …

Fake review detection techniques, issues, and future research directions: a literature review

RA Duma, Z Niu, AS Nyamawe, J Tchaye-Kondi… - … and Information Systems, 2024 - Springer
Recently, the impact of product or service reviews on customers' purchasing decisions has
become increasingly significant in online businesses. Consequently, manipulating reviews …

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 …

Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews

GS Budhi, R Chiong, Z Wang, S Dhakal - Electronic Commerce Research …, 2021 - Elsevier
The financial impact of positive reviews has prompted some fraudulent sellers to generate
fake product reviews for either promoting their products or discrediting competing products …

Detecting fake reviews with supervised machine learning algorithms

M Lee, YH Song, L Li, KY Lee… - The Service Industries …, 2022 - Taylor & Francis
This study provides an applicable methodological procedure applying Artificial Intelligence
(AI)-based supervised Machine Learning (ML) algorithms in detecting fake reviews of online …

Deceptive consumer review detection: a survey

DU Vidanagama, TP Silva, AS Karunananda - Artificial Intelligence …, 2020 - Springer
Consumer reviews are considered to be of utmost significance in the field of e-commerce, for
they have a stronghold in deciding the revenue of a business. When arriving at a purchasing …

Combat ai with ai: Counteract machine-generated fake restaurant reviews on social media

A Gambetti, Q Han - arXiv preprint arXiv:2302.07731, 2023 - arxiv.org
Recent advances in generative models such as GPT may be used to fabricate
indistinguishable fake customer reviews at a much lower cost, thus posing challenges for …