Results 11 to 20 of about 37,947 (280)
IEEE Access, 2021 With the widespread of fake online reviews, the detection of fake reviews has become a hot research issue. Despite the efforts of existing studies on fake review detection, the issues of imbalanced data and feature pruning still lack sufficient attention.
Jianrong Yao, Yuan Zheng, Hui Jiang
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Machine learning-based Fake reviews detection with amalgamated features extraction method
Sukkur IBA Journal of Emerging Technologies, 2023 Product fake reviews are increasing as the trend is changing toward online sales and purchases. Fake review detection is critical and challenging for both researchers and online retailers.
Muhammad Bux Alvi +4 more
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PLoS ONE, 2022 The popularity of online shopping is steadily increasing. At the same time, fake product reviews are published widely and have the potential to affect consumer purchasing behavior.
Felix Soldner +2 more
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The importance of behavioral data to identify online fake reviews for tourism businesses: a systematic review [PDF]
PeerJ Computer Science, 2019 In the last several decades, electronic word of mouth (eWOM) has been widely used by consumers on different digital platforms to gather feedback about products and services from previous customer behavior.
Ana Reyes-Menendez +2 more
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IEEE Access, 2022 The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautionary measures lead to a global increase in online shopping.
Hina Tufail +3 more
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Prevention of Fake Comments using web3 [PDF]
ITM Web of Conferences, 2023 The volume of information on the internet is currently rising dramatically. Social media platforms/e-commerce market place is producing a lot of data, including reviews, comments, and opinions, every day.
Nithya T. +2 more
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Imbalanced Fake Reviews?Detection with Ensemble Hierarchical Graph Attention Network [PDF]
Jisuanji kexue yu tansuo, 2023 As a hot spot in machine learning, graph neural networks (GNN) have recently begun to be applied in the field of fraud detection involving user reviews. In reality, the collected user comments involve diverse fields and complex information, and the fraud
ZHAO Min, ZHANG Yueqin, DOU Yingtong, ZHANG Zehua
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Fake Review Detection using Machine Learning
Computational Intelligence and Machine Learning, 2023 Online reviews have become increasingly important in the world of e-commerce, serving as a powerful tool to establish a business's reputation and attract new customers. However, the rise of fake reviews has become a growing concern as they can skew the reputation of a business and deceive potential customers.
Gayathri M +2 more
+4 more sources
Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media [PDF]
PeerJ Computer Science, 2021 The popularity of the internet, smartphones, and social networks has contributed to the proliferation of misleading information like fake news and fake reviews on news blogs, online newspapers, and e-commerce applications.
Muhammad Pervez Akhter +5 more
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A systematic literature review on spam content detection and classification [PDF]
PeerJ Computer Science, 2022 The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e., Facebook, Twitter, YouTube, and E-mail. The time spent
Sanaa Kaddoura +3 more
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