In the Web2. 0 era, user-generated content (UGC) provides a valuable source of data to aid
in understanding consumers and driving intelligent business. Text mining techniques, such …

This comprehensive survey investigates methodologies and factors utilized for predicting
review helpfulness on e-commerce websites. Analyzing 132 research publications from the …

The problem of information overload in online review platforms has seriously hampered
many customers' ability to evaluate the quality of products or businesses when making …

This study explores the influence of social media on corporate social responsibility (CSR)
disclosure. The purpose is to understand if and how followership behaviours (eg, likes …

Many e-commerce platforms encourage users to upload user-generated images when
posting reviews, while it is still not clear what aspects in images are considered helpful by …

The ways in which different components collectively influence review helpfulness is not well
understood in hospitality. This study shows how multiple review data modalities can be …

In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shop** due to the …

The rapid growth of e-commerce has increased the need for retailers to understand and
predict customer satisfaction to support data-driven managerial decisions. This study …

Identifying and presenting helpful reviews to customers can significantly affect their
purchase decisions. Although review helpfulness has been extensively explored in tourism …

Images have become integral to consumers' sharing of consumption experiences due to
their abilities of carrying rich and vivid information. Drawing from the perspective of …