TY - JOUR
T1 - A comparative study of the online film ratings of US and Chinese audiences
T2 - An analytical approach based on big data
AU - Feng, Guangchao C
N1 - Funding information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported, in part, by the Fund of Humanities and Social Science of the Ministry of Education of China [grant number 15YJA860004]; the Key Grant of Shenzhen the 13th Five-Year Plan of Shenzhen in Philosophy and Social Sciences, 2017–2018 [grant number 135A011].
Publisher copyright:
© The Author(s) 2018.
PY - 2019/4
Y1 - 2019/4
N2 - Many movies have influenced many societies in various ways, but the factors that affect films’ ratings remain understudied. This article goes beyond examining a variety of factors that determine such ratings by focusing on the interaction effect of the country difference with other predictors of film ratings between the world’s top two movie markets, the US and China, using big data gathered from the Internet. The country difference significantly moderates the effect of predictors such as the film’s year of release, its Motion Picture Association of America ratings, country of origin, and its awards. Predictors such as whether it was adapted from a novel, whether it was based on a true story, its production budget, and its ‘star power’ exert the consistent main effects on film ratings across the countries. However, box office success and sequels were found to be insignificant predictors of film ratings. The article then discusses the implications of these findings and suggests directions for future research.
AB - Many movies have influenced many societies in various ways, but the factors that affect films’ ratings remain understudied. This article goes beyond examining a variety of factors that determine such ratings by focusing on the interaction effect of the country difference with other predictors of film ratings between the world’s top two movie markets, the US and China, using big data gathered from the Internet. The country difference significantly moderates the effect of predictors such as the film’s year of release, its Motion Picture Association of America ratings, country of origin, and its awards. Predictors such as whether it was adapted from a novel, whether it was based on a true story, its production budget, and its ‘star power’ exert the consistent main effects on film ratings across the countries. However, box office success and sequels were found to be insignificant predictors of film ratings. The article then discusses the implications of these findings and suggests directions for future research.
KW - Big data
KW - box office
KW - comparison between US and China
KW - film ratings
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85045250391&partnerID=MN8TOARS
U2 - 10.1177/1748048518767799
DO - 10.1177/1748048518767799
M3 - Journal article
SN - 1748-0485
VL - 81
SP - 283
EP - 302
JO - International Communication Gazette
JF - International Communication Gazette
IS - 3
ER -