Abstract
This paper aims to study the factors contributing to movie review helpfulness in China. Using 2,197 movie reviews and 1,876 reviewers’ information from the top 100 films released in 2020 on Douban.com, this paper mainly focuses on two types of features, namely, review-related factors (Review Length, Review Timeliness, Review Extremity, and Review Reply) and reviewer-related factors (Reviewer Expertise and Reviewer Follower). A zero-inflated-negative-binomial (ZINB) regression model is employed to examine the determinants of movie review helpfulness. Two main findings emerged. First, Review Reply was shown to be a significant factor in movie review helpfulness. Second, movie review helpfulness is highly associated with factors except for Reviewer Expertise.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International MultiConference of Engineers and Computer Scientists 2021, IMECS 2021 |
| Editors | S. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng |
| Publisher | Newswood Limited |
| Pages | 150-155 |
| Number of pages | 6 |
| ISBN (Electronic) | 9789881404916 |
| Publication status | Published - 2021 |
| Externally published | Yes |
| Event | 2021 International MultiConference of Engineers and Computer Scientists, IMECS 2021 - Hong Kong, Hong Kong Duration: Oct 20 2021 → Oct 22 2021 |
Publication series
| Name | Lecture Notes in Engineering and Computer Science |
|---|---|
| Volume | 2243 |
| ISSN (Print) | 2078-0958 |
| ISSN (Electronic) | 2078-0966 |
Conference
| Conference | 2021 International MultiConference of Engineers and Computer Scientists, IMECS 2021 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 10/20/21 → 10/22/21 |
Bibliographical note
Publisher Copyright:© 2021 Newswood Limited. All rights reserved.
ASJC Scopus Subject Areas
- Computer Science (miscellaneous)
Keywords
- Douban
- Movie reviews
- Review helpfulness
- ZINB model