With the rapid expansion of e-commerce and social media platforms, the prevalence of fake
reviews has become increasingly problematic, misleading consumers and harming both the …

Detecting fake reviews can help customers make better purchasing decisions and maintain
a positive online business environment. In recent years, pre-trained language models have …

Recently, product/service reviews and online businesses have been similar to the blood–
heart relationship as they greatly impact customers' purchase decisions. There is an …

Neural networks are widely used in the field of fake reviews detection. To extract features
more comprehensively, we propose a novel recurrent neural network with feature fusion …

The growth of the internet and the availability of online stores has increased the trend of
online shopping among customers. People preferred to read the comments posted by …

The increasing online reviews play an essential role in the e-commerce platform, which
profoundly affects the purchase decisions of consumers. However, rampant dishonest …

User reviews on online consumption platforms are crucial for both consumers and
merchants, serving as a reference for purchase decisions and product improvement …

Online reviews play a critical role in modern word-of-mouth communication, influencing
consumers' shopping preferences and purchase decisions, and directly affecting a …

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

Recently, there has been an increasing reward to manipulate product/service reviews,
mostly profit-driven, since positive reviews infer high business returns and vice versa. To …