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Review Article
Received: 01 Oct 2023, Accepted: 22 Oct 2023,
 


Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection

Abeer Hassan, Fahad Alotaibi.


Abstract
Online reviews play a critical role in the success of any business. It is an important tool that affects the decisions of both customers and vendors. Reviews also tell an organization's decision-makers when and how to make changes to their quality plan. Product makers depend on reviews to uncover their products' faults and get competitive intelligence about their competitors. So, it is important to be sure that reviews are real and represent a real customer opinion. Fabricated reviews have the potential to mislead the general audience, leaving people unsure of the review. In literature, different approaches have been proposed to address the problem of deceptive reviews. In this work, we aim to explore the area's current state, its implications, limitations, and possible future paths. We focused on the recent technologies and theories that were implemented to detect deceptive reviews. This review can be useful for anyone interested in detecting deceptive online reviews. This paper is part of another research focusing on the reliability of deceptive online reviews, to develop a comprehensive evaluation framework to validate online reviews.

Key words: Online Reviews; Deception; Fake Opinion; Machine Learning; Detection


 
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Pubmed Style

Hassan A, Alotaibi F. Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection. Journal of Engineering and Applied Sciences. 2023; 10(2): 30-49. doi:10.5455/jeas.2023110103


Web Style

Hassan A, Alotaibi F. Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection. https://jecasmu.org/?mno=171016 [Access: December 25, 2024]. doi:10.5455/jeas.2023110103


AMA (American Medical Association) Style

Hassan A, Alotaibi F. Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection. Journal of Engineering and Applied Sciences. 2023; 10(2): 30-49. doi:10.5455/jeas.2023110103



Vancouver/ICMJE Style

Hassan A, Alotaibi F. Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection. Journal of Engineering and Applied Sciences. (2023), [cited December 25, 2024]; 10(2): 30-49. doi:10.5455/jeas.2023110103



Harvard Style

Hassan, A. & Alotaibi, . F. (2023) Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection. Journal of Engineering and Applied Sciences, 10 (2), 30-49. doi:10.5455/jeas.2023110103



Turabian Style

Hassan, Abeer, and Fahad Alotaibi. 2023. Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection. Journal of Engineering and Applied Sciences, 10 (2), 30-49. doi:10.5455/jeas.2023110103



Chicago Style

Hassan, Abeer, and Fahad Alotaibi. "Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection." Journal of Engineering and Applied Sciences 10 (2023), 30-49. doi:10.5455/jeas.2023110103



MLA (The Modern Language Association) Style

Hassan, Abeer, and Fahad Alotaibi. "Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection." Journal of Engineering and Applied Sciences 10.2 (2023), 30-49. Print. doi:10.5455/jeas.2023110103



APA (American Psychological Association) Style

Hassan, A. & Alotaibi, . F. (2023) Towards Online Review Verification: A Literature Review of Deceptive Online-Reviews Detection. Journal of Engineering and Applied Sciences, 10 (2), 30-49. doi:10.5455/jeas.2023110103