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Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data

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Cited by:

  1. Steven F. Lehrer & Tian Xie, 2022. "The Bigger Picture: Combining Econometrics with Analytics Improves Forecasts of Movie Success," Management Science, INFORMS, vol. 68(1), pages 189-210, January.
  2. Shota Saito & Yoshito Hirata & Kazutoshi Sasahara & Hideyuki Suzuki, 2015. "Tracking Time Evolution of Collective Attention Clusters in Twitter: Time Evolving Nonnegative Matrix Factorisation," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-17, September.
  3. Young Bin Kim & Jurim Lee & Nuri Park & Jaegul Choo & Jong-Hyun Kim & Chang Hun Kim, 2017. "When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
  4. Mizuki Oka & Yasuhiro Hashimoto & Takashi Ikegami, 2014. "Self-Organization on Social Media: Endo-Exo Bursts and Baseline Fluctuations," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-8, October.
  5. 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.
  6. Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019. "Noise traders and smart money: Evidence from online searches," Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
  7. Pantelis Loupos & Yvette Peng & Sute Li & Hao Hao, 2023. "What reviews foretell about opening weekend box office revenue: the harbinger of failure effect in the movie industry," Marketing Letters, Springer, vol. 34(3), pages 513-534, September.
  8. Hyekyung Woo & Youngtae Cho & Eunyoung Shim & Kihwang Lee & Gilyoung Song, 2015. "Public Trauma after the Sewol Ferry Disaster: The Role of Social Media in Understanding the Public Mood," IJERPH, MDPI, vol. 12(9), pages 1-10, September.
  9. Yi Liao & Yuxuan Peng & Songlin Shi & Victor Shi & Xiaohong Yu, 2022. "Early box office prediction in China’s film market based on a stacking fusion model," Annals of Operations Research, Springer, vol. 308(1), pages 321-338, January.
  10. Xiao Liu & Param Vir Singh & Kannan Srinivasan, 2016. "A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing," Marketing Science, INFORMS, vol. 35(3), pages 363-388, May.
  11. Tanzeela AQIF & Abdul WAHAB, 2022. "Reshaping The Future Of Retail Marketing Through Big Data: A Review From 2009 To 2022," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 14(3), pages 5-24, September.
  12. Letchford, Adrian & Preis, Tobias & Moat, Helen Susannah, 2016. "The advantage of simple paper abstracts," Journal of Informetrics, Elsevier, vol. 10(1), pages 1-8.
  13. Jason M. T. Roos & Ron Shachar, 2014. "When Kerry Met Sally: Politics and Perceptions in the Demand for Movies," Management Science, INFORMS, vol. 60(7), pages 1617-1631, July.
  14. Paweł Fiedor & Artur Hołda, 2015. "The Effects of Bankruptcy on the Structural Complexity of the Price Changes on WSE," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 41.
  15. Daniele Barchiesi & Helen Susannah Moat & Christian Alis & Steven Bishop & Tobias Preis, 2015. "Quantifying International Travel Flows Using Flickr," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-8, July.
  16. Trilce Navarrete & Karol J. Borowiecki, 2015. "Change in access after digitization: Ethnographic collections in Wikipedia," ACEI Working Paper Series AWP-10-2015, Association for Cultural Economics International, revised Oct 2015.
  17. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
  18. Bae, Giwoong & Kim, Hye-jin, 2019. "The impact of movie titles on box office success," Journal of Business Research, Elsevier, vol. 103(C), pages 100-109.
  19. Sejung Park & Han Woo Park, 2020. "Diffusion of cryptocurrencies: web traffic and social network attributes as indicators of cryptocurrency performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 297-314, February.
  20. M. Elshendy & A. Fronzetti Colladon & E. Battistoni & P. A. Gloor, 2021. "Using four different online media sources to forecast the crude oil price," Papers 2105.09154, arXiv.org.
  21. Andreas Spitz & Emőke-Ágnes Horvát, 2014. "Measuring Long-Term Impact Based on Network Centrality: Unraveling Cinematic Citations," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
  22. An, Yongdae & An, Jinwon & Cho, Sungzoon, 2021. "Artificial intelligence-based predictions of movie audiences on opening Saturday," International Journal of Forecasting, Elsevier, vol. 37(1), pages 274-288.
  23. Bernardo Monechi & Ãlvaro Ruiz-Serrano & Francesca Tria & Vittorio Loreto, 2017. "Waves of novelties in the expansion into the adjacent possible," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-18, June.
  24. Jeon, Hongjun & Seo, Wonchul & Park, Eunjeong & Choi, Sungchul, 2020. "Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  25. Judith Timmer & Richard J. Boucherie & Esmé Lammers & Niek Baër & Maarten Bos & Arjan Feenstra, 2018. "Estimating the potential of collaborating professionals, with an application to the Dutch film industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 69-95, January.
  26. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
  27. Andrea Fronzetti Colladon & Maurizio Naldi, 2019. "Predicting the performance of TV series through textual and network analysis: The case of Big Bang Theory," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-20, November.
  28. Bertschek, Irene & Ohnemus, Jörg & Erdsiek, Daniel & Kimpeler, Simone & Rammer, Christian & Klein, Marcus, 2018. "Monitoringbericht Kultur- und Kreativwirtschaft 2017," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 179120.
  29. David Court & Benjamin Gillen & Jordi McKenzie & Charles R. Plott, 2018. "Two information aggregation mechanisms for predicting the opening weekend box office revenues of films: Boxoffice Prophecy and Guess of Guesses," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(1), pages 25-54, January.
  30. Mark B. Houston & Ann-Kristin Kupfer & Thorsten Hennig-Thurau & Martin Spann, 2018. "Pre-release consumer buzz," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 338-360, March.
  31. Mun, Mak Kit & Chong, Choo Wei, 2018. "Forecasting Movie Demand Using Total and Split Exponential Smoothing," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 81-94.
  32. Yukie Sano & Hideki Takayasu & Shlomo Havlin & Misako Takayasu, 2019. "Identifying long-term periodic cycles and memories of collective emotion in online social media," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.
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