Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer review

• Main Authors: Bilal, M., Marjani, M., Hashem, I.A.T., Malik, N., Lali, M.I.U., Abdullah Gani
• Format: Article
• Language: English
• Published: Elsevier B.V. 2021
• Subjects: HV Social pathology. Social and public welfare. Criminology; QA Mathematics
• Online Access: https://eprints.ums.edu.my/id/eprint/26885/1/Profiling%20reviewers%E2%80%99%20social%20network%20strength%20and%20predicting%20the%20%E2%80%9CHelpfulness%E2%80%9D%20of%20online%20customer%20review.pdf; https://eprints.ums.edu.my/id/eprint/26885/; https://www.scopus.com/record/display.uri?eid=2-s2.0-85098975601&origin=inward&txGid=bdc08090cc05127e5aaf8f466095a8a5
• Institution: Universiti Malaysia Sabah

Online customer reviews have become a popular source of information that influences the purchasing decisions of many prospective customers. However, the rapidly increasing volume of online reviews presents a problem of information overload, which makes it difficult for customers to determine the qua...