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
consumers. The purpose of this study is to empirically explore the effects of argument quality
of images on review helpfulness, and how the effects are different across different product
types. Inspired by the information adoption theory, this work measured the four important
aspects (adequacy, accuracy, consistency, and relevance) for the quality of user-generated …