Towards the development of an explainable e-commerce fake review index: An attribute analytics approach-Reference-Cited by-同舟云学术

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Towards the development of an explainable e-commerce fake review index: An attribute analytics approach

Published:2024-09 Issue:2 Volume:317 Page:382-400
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Das Ronnie,Ahmed Wasim^ORCID,Sharma Kshitij^ORCID,Hardey Mariann^ORCID,Dwivedi Yogesh K.^ORCID,Zhang Ziqi^ORCID,Apostolidis Chrysostomos^ORCID,Filieri Raffaele^ORCID

Publisher

Elsevier BV

Reference55 articles.

1. Amazon continues to invest in the growth of European small and medium enterprises;Amazon News,2022

2. Angelov, D. (2020). Top2Vec: Distributed representations of topics. In arXiv [cs.CL]. arXiv. http://arxiv.org/abs/2008.09470.

3. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI;Arrieta;Information fusion,2020

4. Understanding online fake review production strategies;Banerjee;Journal of Business Research,2023

5. A framework for fake review detection in online consumer electronics retailers;Barbado;Information Processing & Management,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ChatGPT paraphrased product reviews can confuse consumers and undermine their trust in genuine reviews. Can you tell the difference?;Information Processing & Management;2024-11

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