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Blockbuster or Flop? Effects of Social Media on the Chinese Film Market

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  • Chou, Yuntsai
  • Lin, Wei

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  • Chou, Yuntsai & Lin, Wei, 2024. "Blockbuster or Flop? Effects of Social Media on the Chinese Film Market," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302460, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb24:302460
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    References listed on IDEAS

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    1. Kim, Taegu & Hong, Jungsik & Kang, Pilsung, 2015. "Box office forecasting using machine learning algorithms based on SNS data," International Journal of Forecasting, Elsevier, vol. 31(2), pages 364-390.
    2. Karniouchina, Ekaterina V., 2011. "Impact of star and movie buzz on motion picture distribution and box office revenue," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 62-74.
    3. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    4. Daekook Kang, 2021. "Box-office forecasting in Korea using search trend data: a modified generalized Bass diffusion model," Electronic Commerce Research, Springer, vol. 21(1), pages 41-72, March.
    5. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    6. Ruoqing Zhu & Donglin Zeng & Michael R. Kosorok, 2015. "Reinforcement Learning Trees," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1770-1784, December.
    7. Sang Ho Kim & Namkee Park & Seung Hyun Park, 2013. "Exploring the Effects of Online Word of Mouth and Expert Reviews on Theatrical Movies' Box Office Success," Journal of Media Economics, Taylor & Francis Journals, vol. 26(2), pages 98-114, June.
    8. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    9. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    10. Biplab Bhattacharjee & Amulyashree Sridhar & Anirban Dutta, 2017. "Identifying the causal relationship between social media content of a Bollywood movie and its box-office success - a text mining approach," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 24(3), pages 344-368.
    11. Nieto, Jannine & Hernández-Maestro, Rosa M. & Muñoz-Gallego, Pablo A., 2014. "Marketing decisions, customer reviews, and business performance: The use of the Toprural website by Spanish rural lodging establishments," Tourism Management, Elsevier, vol. 45(C), pages 115-123.
    12. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
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    Keywords

    digital marketing; electronic word of mouth; box office revenue; random forest model; polynomial regression; Maoyan; Douban;
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