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Deceptive XAI: Typology, Creation and Detection
Providing rationales for decisions can enhance transparency and cultivate trust. Nevertheless, in light of economic incentives and other factors that...
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Deceptive opinion spam detection using bidirectional long short-term memory with capsule neural network
Product reviews are becoming a more popular tool for businesses and individuals when making judgements about purchases. Spammers create synthesized...
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Deceptive opinion spam detection approaches: a literature survey
Nowadays, a large number of customers purchase products and services online. Customers can write their opinions in reviews to express the value and...
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Fake review detection techniques, issues, and future research directions: a literature review
Recently, the impact of product or service reviews on customers' purchasing decisions has become increasingly significant in online businesses....
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Deceptive Patterns in Japan’s Digital Landscape: Insights from User Experience
This study delves into the recognition and impact of deceptive patterns in Japan's digital environment, exploring how these manipulative design...
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A Systematic Study on Fake Review Detection Approaches on E-Commerce Platforms
Customers’ reliance on reviews for product information has experienced a substantial increase. However, the integrity of online reviews is undermined...
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DHMFRD – TER: a deep hybrid model for fake review detection incorporating review texts, emotions, and ratings
Recently, there has been an increasing reward to manipulate product/ service reviews, mostly profit-driven, since positive reviews infer high...
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Image splicing forgery detection: A review
Image splicing forgery is a prevalent form of digital image manipulation where various portions from one or multiple images are combined to create a...
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Identification of Deceptive Texts Using Cascade Classification
Online reviews of products, hotels, restaurants, and other services play an important role for both sellers and buyers. Through these reviews,...
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Aspect-based classification method for review spam detection
Online reviews have become available for consumers’ reference to make purchase decisions, but a large number of spam reviews have damaged e-commerce...
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A detailed review of wireless sensor network, jammer, the types, location, detection and countermeasures of jammers
This review article explores jamming attacks, a critical security threat disrupting communication in wireless sensor networks (WSNs). We begin by...
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A deceptive detection model based on topic, sentiment, and sentence structure information
Deceptive reviews on Web are a common phenomenon and how to detect them has a very important impact on products, services, and even business...
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Factitious or fact? Learning textual representations for fake online review detection
User reviews can play a big part in deciding a company's income in the e-commerce industry. Before making selections regarding any product or...
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Augmenting the global semantic information between words to heterogeneous graph for deception detection
Detecting deceptive reviews can assist customers in gras** the real evaluation of products and services to make better purchase decisions and help...
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Exploring facial cues: automated deception detection using artificial intelligence
Deception detection is an interdisciplinary field attracting researchers from psychology, criminology, computer science, and economics. Automated...
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Vote-based integration of review spam detection algorithms
Due to the growth of online review data, detecting fake or fraudulent reviews is becoming an urgent issue. One barrier to effective detection of fake...
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Fake review detection on online E-commerce platforms: a systematic literature review
The increasing popularity of online review systems motivates malevolent intent in competing sellers and service providers to manipulate consumers by...
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Towards Reliable App Marketplaces: Machine Learning-Based Detection of Fraudulent Reviews
Online reviews significantly influence consumer decisions, making the increasing prevalence of fake reviews in app marketplaces concerning. These...
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A Machine Learning Approach for Tackling Deceptive Reviews in e-Commerce
Machine learning algorithms utilized by False Review of Internet Products enable customers to identify deceptive online reviews. Social media...
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A review on fake news detection 3T’s: typology, time of detection, taxonomies
Fake news has become an industry on its own, where users paid to write fake news and create clickbait content to allure the audience. Apparently, the...
