2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) 2014
DOI: 10.1109/icmew.2014.6890664
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Influence of social media on performance of movies

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Cited by 11 publications
(7 citation statements)
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“…Similarly, Ding et al (2017) have found significantly positive effect of pre-release Facebook "likes" on the box office performance of a movie. Contrastingly, Shruti et al (2014) in their study of social media influence on the box office performance found that Facebook "likes" are not a strong indicator to assess financial performance of movies. In a similar vein, Oh et al (2017) examined the effects of consumer engagement behaviour (CEB) through the number of likes in social media platforms of Facebook, YouTube and Twitter on the movie's official page on these channels and its impact on the economic performance of a movie.…”
Section: Literature Reviewmentioning
confidence: 89%
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“…Similarly, Ding et al (2017) have found significantly positive effect of pre-release Facebook "likes" on the box office performance of a movie. Contrastingly, Shruti et al (2014) in their study of social media influence on the box office performance found that Facebook "likes" are not a strong indicator to assess financial performance of movies. In a similar vein, Oh et al (2017) examined the effects of consumer engagement behaviour (CEB) through the number of likes in social media platforms of Facebook, YouTube and Twitter on the movie's official page on these channels and its impact on the economic performance of a movie.…”
Section: Literature Reviewmentioning
confidence: 89%
“…There is a growing use of social media platforms to access and engage consumers by marketers. Each of these platforms have distinct characteristics complementary to each other, which maximises synergistic effects when they are being used as part of the promotional mix (Shruti et al, 2014;Oh et al, 2017). Despite such opportunities, firms are yet to develop an integrative social media strategy to promote their brands for financial success.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Several machine learning algorithms have also been tested to predict the movie revenue [7] using most frequently used variables such as director, actors and genre could not achieve much accuracy. The last paper we have reviewed so far [8] had tried to examine social media influence on profit of a movie which has shown that facebook.com likes are not a good determinant for forecasting movie profit. Now all the work has missed something that is prediction time.…”
Section: Literature Reviewmentioning
confidence: 99%