Results 11 to 20 of about 110,130 (282)
Fake Online Reviews: A Unified Detection Model Using Deception Theories
IEEE Access, 2022 Online reviews influence consumers’ purchasing decisions. However, identifying fake online reviews automatically remains a complex problem, and current detection approaches are inefficient in preventing the spread of fake reviews.
Mujahed Abdulqader +2 more
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Fake Review Detection Based on Multiple Feature Fusion and Rolling Collaborative Training
IEEE Access, 2020 Fake reviews may mislead consumers. A large number of fake reviews will even cause huge property losses and public opinion crises. Therefore, it is necessary to detect and filter fake reviews.
Jingdong Wang +5 more
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Fake Reviews Identification Method Fusing Time Series and Multi-scale Features [PDF]
Jisuanji gongcheng, 2019 This paper proposes an improved fake reviews identification method combining time series with multi-scale features.Considering the influence of time factors on the ratings and its distribution,it constructs fake reviews identification model based on ...
DI Ruitong,WANG Hong,FANG Youli
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The influence of eWOM. Analyzing its characteristics and consequences, and future research lines [PDF]
Spanish Journal of Marketing-ESIC, 2021 Purpose – This study, first, reviews the existing literature on electronic word-of-mouth (eWOM) and, using communication theory, examines its impact on its readers’ decision-making processes.
Khaoula Akdim
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Fake Review Detection System: A Review
International Journal of Scientific Research in Science and Technology, 2023 Fake reviews, often referred to as deceptive or dishonest reviews, have become a significant concern for both businesses and consumers (Feng et al., 2016). These reviews are deliberately crafted to mislead or manipulate the opinions of others and can be driven by various motives, such as financial gain, competition, or personal grudges (Liu et al ...
null Dr. Pankaj Kumar +3 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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, 2022 In this day and age, surveys on web-based sites play an important role in product sales because people try to get all of the advantages and disadvantages of any item before purchasing it because there are various options for a similar item, such as different makes for a similar type of item, or differences in merchants that can provide the item, or ...
Kumar, Atul +3 more
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On the mark? Responses to a sting [PDF]
, 2013 A series of responses to John Bohannon's "sting" operation on OA ...
Buckland, Amy +4 more
core +1 more source
Fake Product Review Monitoring System
International Journal of Innovations in Engineering and Science, 2023 unless some mining operations are applied to it. As there are a number of fake reviews so opinion mining technique should incorporate Spam detection faux or fake reviews that have been created by organizations or by the people for detection system by promoting or demoting target ...
Prof. Harshali Ragite +4 more
openaire +2 more sources
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
doaj +1 more source