Abstract Foundation and Large Language Models (FLLMs) are models that are trained using
a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs …

In the contemporary digital marketplace, the proliferation of online consumer reviews has a
pivotal influence on purchasing decisions. Concurrently, the prevalence of spurious reviews …

Internet reviews significantly influence consumer purchase decisions across all types of
goods and services. However, fake reviews can mislead both customers and businesses …

Driven by motives of profit and competition, fake reviews are increasingly used to
manipulate product ratings. This trend has caught the attention of academic researchers and …

In recent years, the Internet has facilitated the emergence of social media platforms as
significant channels for individuals to express their thoughts and engage in instantaneous …

This paper proposes a novel approach called Stack-GA2M to identify fraudulent reviewers in
an inherently interpretable manner by fusing both target and non-target features …

Customers' reviews and feedback play crucial role on electronic commerce~(E-commerce)
platforms like Amazon, Zalando, and eBay in influencing other customers' purchasing …

Sentiment analysis, a vital component in natural language processing, plays a crucial role in
understanding the underlying emotions and opinions expressed in textual data. In this …

On social commerce and e-commerce, existing customers and experts' reviews has a huge
impact on the consumer's buying decision. Hence the trustworthiness of online reviews is …

Internet reviews significantly influence consumer purchase decisions across all types of
goods and services. However, fake reviews can mislead both customers and businesses …