An Empirical Analysis of the Influence of Different Types of Metadata on the Usefulness of Online Reviews for Healthcare Businesses

This study aims to identify factors that influence the usefulness of online healthcare reviews and develop a predictive model for review usefulness. A sample 4,351 posted between October 2014 2022 was analyzed using negative binomial regression support vector algorithms. The results reveal user metadata attributes related reviewer reputation, readability, subjectivity, containing more sentences have significant positive on helpfulness. However, assigning higher star ratings business are perceived as less useful by consumers. recommends businesses should encourage consumers post reviews, pay attention opinions concerns high-reputation cool patients, use review, business, build effective models predicting By like one developed in this study, platforms can estimate helpfulness new instantly.