Prediction of movies box office performance using social media

2013 ◽  
Author(s):  
Krushikanth R. Apala ◽  
Merin Jose ◽  
Supreme Motnam ◽  
C.-C. Chan ◽  
Kathy J. Liszka ◽  
...  
Keyword(s):  
Social Media ◽  
Box Office ◽  
Box Office Performance

scholarly journals Hollywood movies and China: Analysis of Hollywood globalization and relationship management in China’s cinema market

2018 ◽  
Vol 3 (3) ◽  
pp. 177-194 ◽  
Author(s):  
Xu Song
Keyword(s):  
Relationship Management ◽  
Revenue Sharing ◽  
Box Office ◽  
Management Perspective ◽  
Hollywood Movies ◽  
To Receive ◽  
Box Office Performance

China’s cinema market has been growing dramatically in recent years. Hollywood exports revenue-sharing movies to China to receive additional box-office revenues. Although globalization accelerates Hollywood movies’ domination in most global film markets, that is not the case in China. Hollywood studios encounter cultural and political complications in China’s cinema market. This research reviews the interplay of Hollywood globalization and the complexity of China’s cinema market, applies a relationship management perspective in analyzing Hollywood studios’ China-focused endeavors, identifies and discusses five key relations, and analyzes why and how Hollywood studios have strategically managed the key relations to boost their revenue-sharing movies’ box-office performance in China.

Winning box office with the right movie synopsis

2020 ◽  
Vol 54 (3) ◽  
pp. 594-614 ◽  
Author(s):  
Yu-Chen Hung ◽  
Chong Guan
Keyword(s):  
Factor Analysis ◽  
Text Analysis ◽  
Structural Equation ◽  
Phase 1 ◽  
Basic Question ◽  
Content Type ◽  
Box Office ◽  
Equation Modelling ◽  
Linguistic Cues ◽  
Box Office Performance

Purpose Consumers often search for movie information and purchase tickets on the go. A synopsis is often provided by producers and theatres in mobile apps and websites. However, to the best of the authors’ knowledge, little research has investigated whether the synopsis has an impact on a movie’s box office. This research uses computerized text analysis in examining the influence of linguistic cues of a synopsis on the movie’s financial performance. This paper aims to show that language choice in a synopsis is a significant factor in predicting box office performance. Design/methodology/approach A total usable sample of 5973 movies was collected using a web crawler. Computerised text analysis using linguistic inquiry and word count was adopted to analyse the movie synopses data. The empirical study comprises two phases. Phase 1 used exploratory factor analysis on 50 per cent of the sample (Sample 1) to establish the dimensionality of psychological processes as reflected in the linguistic expressions. The analysis identified 11 linguistic variables that loaded on four dimensions. The factor structure was replicated on an independent sample (Sample 2) using confirmatory factor analysis. Phase 2 tested the hypotheses using structure equation modelling. Findings Results show that consistency between movie genres and linguistic cues in a film synopsis promotes movie box office revenue when linguistic cues shown in the synopsis confirm a consumer’s expectancies about a focal movie genre. Conversely, a synopsis reduces the movie box office revenue when the linguistic cues shown disconfirm the genre-based expectancies. These linguistic cues exert similar effects on action and crime films but different effects on comedies and drama films. Research limitations/implications It is likely that consumer tastes and linguistic styles of film synopses have evolved over time. As a cross-sectional study, such changes were not taken into consideration in the current research. A longitudinal study in the future can reveal the dynamic relationship between film synopses and audience. Practical implications Managerially, the findings show that a synopsis is an effective communication touch point to position a movie. This research provides concrete guidelines in crafting synopses with the “rights words’ aligned with movie-goers’ expectations within each specific genre. Beyond movie consumption, the research findings can be applied to other entertainment products, such as TV series and books. Originality/value To our knowledge, this research is the first in studying the linguistic cues in synopses and its relation to box office performance. It addresses this knowledge gap by answering the basic question of whether movie synopses matter. Methodically, the paper marks the first attempt to use the two-step structural equation modelling method on computerised content analysis data.

scholarly journals The impact of online review helpfulness and word of mouth communication on box office performance predictions

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Sangjae Lee ◽  
Joon Yeon Choeh
Keyword(s):  
Word Of Mouth ◽  
Nearest Neighbor ◽  
Prediction Performance ◽  
Box Office ◽  
Performance Predictions ◽  
Review Helpfulness ◽  
Product Sales ◽  
Word Of Mouth Communication ◽  
The Impact ◽  
Box Office Performance

Abstract While electronic word-of-mouth (eWOM) variables, such as volume and valence have been posited in previous studies to consistently affect product sales, there is a lack of studies on the different contexts and outcomes that affect the importance of eWOM variables. In order to fill this gap, this study attempts to use the helpfulness of reviews and reviewers as moderators to predict box office revenue, comparing the prediction performances of business intelligence (BI) methods (random forest, decision trees using boosting, the k-nearest neighbor method, discriminant analysis) using eWOM between high and low review or reviewer helpfulness subsample in the Korean movie market scrawled from the Naver Movies website. The results of applying machine learning methods show that movies with more helpful reviews or those that are reviewed by more helpful reviewers show greater prediction performance, and review and reviewer helpfulness improve the prediction power of eWOM for box office revenue. The prediction performance will improve if the characteristics of eWOM are likely to be combined to contribute to box office revenue to a greater extent.

scholarly journals Business Intelligence from Social Media: A Study from the VAST Box Office Challenge

2014 ◽  
Vol 34 (5) ◽  
pp. 58-69 ◽  
Author(s):  
Yafeng Lu ◽  
Feng Wang ◽  
Ross Maciejewski
Keyword(s):  
Social Media ◽  
Business Intelligence ◽  
Box Office

Blogs and Local-market Movie Box-office Performance

2010 ◽  
Author(s):  
Shyam Gopinath ◽  
Pradeep K. Chintagunta ◽  
Sriram Venkataraman
Keyword(s):  
Local Market ◽  
Box Office ◽  
Box Office Performance
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