Results 1 to 10 of about 110,130 (282)
The effects of fake reviews during stepwise topic movement on shopping attitude in social network marketing [PDF]
MethodsX, 2023 Although the influence of consumer reviews is increasing in weight, far-flung consumer comments on social networks are a retrogressive problem, disturbing users' attention in reviews studies by interpreting them as misleading messages.
Masoumeh Hosseinzadeh Shahri +3 more
doaj +2 more sources
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
doaj +3 more sources
Graph Learning for Fake Review Detection
Frontiers in Artificial Intelligence, 2022 Fake reviews have become prevalent on various social networks such as e-commerce and social media platforms. As fake reviews cause a heavily negative influence on the public, timely detection and response are of great significance. To this end, effective
Shuo Yu +4 more
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Fake Reviews Detection: A Survey [PDF]
IEEE Access, 2021 In e-commerce, user reviews can play a significant role in determining the revenue of an organisation. Online users rely on reviews before making decisions about any product and service.
Rami Mohawesh +6 more
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High performance fake review detection using pretrained DeBERTa optimized with Monarch Butterfly paradigm [PDF]
Scientific ReportsIn this era of internet, e-commerce has grown tremendously and the customers are increasingly relying on reviews for product information. As these reviews influence the purchasing ability of the future customer, it can give a positive or negative impact ...
S. Geetha +3 more
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The Economic Journal, 2020 Abstract We propose a model of product reviews in which some are genuine and some are fake in order to shed light on the value of information provided on platforms like TripAdvisor, Yelp, etc. In every period, a review is posted which is either genuine or fake.
Glazer, Jacob +2 more
openaire +1 more source
An explainable ensemble of multi-view deep learning model for fake review detection
Journal of King Saud University: Computer and Information Sciences, 2023 Online reviews significantly impact consumers who are purchasing or seeking services via the Internet. Businesses and review platforms need to manage these online reviews to avoid misleading customers through fake ones.
Rami Mohawesh +5 more
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Computers in Human Behavior Reports, 2023 Background: Consumers rely heavily on online user reviews when shopping online and cybercriminals produce fake reviews to manipulate consumer opinion.
Michelle Walther +3 more
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Detecting Fake Reviews in Google Maps—A Case Study
Applied Sciences, 2023 Many customers rely on online reviews to make an informed decision about purchasing products and services. Unfortunately, fake reviews, which can mislead customers, are increasingly common.
Paweł Gryka, Artur Janicki
doaj +1 more source
Evaluation of classification techniques for identifying fake reviews about products and services on the internet [PDF]
Gestão & Produção, 2020 : With the e-commerce growth, more people are buying products over the internet. To increase customer satisfaction, merchants provide spaces for product and service reviews.
Andrey Schmidt dos Santos +2 more
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