Opinion Spamming: Analyzing the Accuracy of Online Detection Tools
Authors: 
Mohammed Awad, Khouloud Salameh, Assamahou Malika Ngoungoure, Maryam AbdullahAuthors Info & Claims
Pages 142 - 146
Abstract
Over the past few years, we have seen a rise in spoofed content across the Internet, including fake news and fake reviews. Fake news is false information that imitates real news intending to damage a reputation or make financial gains. Similarly, fake online reviews, commonly referred to as opinion spamming, have impacted customers and retailers. The main problem is that there is no efficient way to distinguish between genuine and fake reviews; even humans find it difficult to do so. This paper compares two tools used to detect opinion spamming and analyzes their results. We have compiled our research using 100 reviews from travelers who evaluated Istanbul's top five best-value hotels.
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Index Terms
- Opinion Spamming: Analyzing the Accuracy of Online Detection Tools
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Information
Published In
September 2022
192 pages
ISBN:9781450397667
DOI:10.1145/3551504
Copyright © 2022 ACM.
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Published: 25 October 2022
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CEEeGov '22
CEEeGov '22: Central and Eastern European eDem and eGov Days
September 22 - 23, 2022
Budapest, Hungary
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