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This study investigates the effectiveness of Large Language Models (LLMs) in detecting deception using a Retrieval Augmented Generation (RAG) framework for few-shot learning in domain-agnostic settings. Our approach combines the sophisticated reasoning ...

Deception is increasingly prevalent in the modern world, appearing in many different forms (domains) from phishing emails to fictitious product reviews, or even false political statements. Many researchers are looking for ways to identify deception ...

The harmfulness of review spam (also known as deceptive opinion) has long been recognized. However, due to the lack of supervised annotations, detecting these fake reviews is challenging ever since the dawn of this field. In this paper, by exploring ...

Nearly all businesses that sell a product or service directly to consumers will be reviewed online. The ubiquity and importance of these online reviews to business success has woefully produced numerous opportunities for fraud. In this paper, we ...

Online app search optimization (ASO) platforms that provide bulk installs and fake reviews for paying app developers in order to fraudulently boost their search rank in app stores, were shown to employ diverse and complex strategies that successfully ...

Black Hat App Search Optimization (ASO) in the form of fake reviews and sockpuppet accounts, is prevalent in peer-opinion sites, e.g., app stores, with negative implications on the digital and real lives of their users. To detect and filter fraud, a ...

Recently opinion spam has been widespread on online review websites and has received significant research attention. Existing approaches to detecting online opinion spam can be categorized into three groups: (1) review behavior-based approaches, which ...

Online reviews, an important source of user opinions, help not only other customers to make a decision but also manufacturers to improve quality of their products or services. Due to commercial reasons, untruthful reviews (spam) written to promote or ...

The persistence of search rank fraud in online, peer-opinion systems, made possible by crowdsourcing sites and specialized fraud workers, shows that the current approach of detecting and filtering fraud is inefficient. We introduce a fraud de-...

Microblogs serve hundreds of millions of active users, but have also attracted large numbers of spammers. While traditional spam often seeks to endorse specific products or services, nowadays there are increasingly also paid posters intent on promoting ...

Malicious crowdsourcing forums are gaining traction as sources of spreading misinformation online, but are limited by the costs of hiring and managing human workers. In this paper, we identify a new class of attacks that leverage deep learning language ...

There has been a surge in opinion-sharing in the public domain. Some opinions greatly influence our decisions, e.g., the choice of purchase. Malicious parties or individuals exploit social media by generating fake reviews for opinion manipulation. This ...

Consumers often rely on online reviews and opinions posted on social media to make a decision when they purchase products or services. This article addresses what are collectively referred to as opinion spam, which are opinions posted by fake reviewers ...

Extant literature suggests that authentic and fictitious online reviews could be distinguished by leveraging on their textual characteristics. However, nuances in textual differences between authentic and fictitious reviews across different categories ...

Consumer generated product reviews are considered as more persuasive than commercial advertising, and are now an important message source to make purchase decision. Nevertheless, firms may purposely hire spammers to create fake reviews to promote their ...

Recently, the problem of opinion spam has been widespread and has attracted a lot of research attention. While the problem has been approached on a variety of dimensions, the temporal dynamics in which opinion spamming operates is unclear. Are there ...

Online reviews are an important source for consumers to evaluate products/services on the Internet (e.g. Amazon, Yelp, etc.). However, more and more fraudulent reviewers write fake reviews to mislead users. To maximize their impact and share effort, ...

Online reviews are an important source for consumers to evaluate products/services on the Internet (e.g. Amazon, Yelp, etc.). However, more and more fraudulent reviewers write fake reviews to mislead users. To maximize their impact and share effort, ...

Online reviews capture the testimonials of "real" people and help shape the decisions of other consumers. Due to the financial gains associated with positive reviews, however, opinion spam has become a widespread problem, with often paid spam reviewers ...

Online reviews have increasingly become a very important resource for consumers when making purchases. Though it is becoming more and more difficult for people to make well-informed buying decisions without being deceived by fake reviews. Prior works on ...