IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-13-00821.html
   My bibliography  Save this article

The Twitter Effect: Social Media Usage as a Contributor to Movie Success

Author

Listed:
  • Julianne Treme

    (University of North Carolina Wilmington)

  • Zoe VanDerPloeg

    (University of North Carolina Wilmington)

Abstract

This paper examines whether an online social media presence affects box office revenues in both domestic and foreign markets using a star's Twitter account as a measure of star power. The results suggest that there is a negative social media effect on box office performance in foreign markets, as a Twitter presence decreased revenues by an average of approximately $30 million. Moviegoers seem disinclined to see movies in theaters featuring female stars that are active in social media, suggesting that special care should be exercised when selecting female leads. Studios should take into account not just an actress's professional accomplishments, but also their overall presence and popularity as a public figure on social media.

Suggested Citation

  • Julianne Treme & Zoe VanDerPloeg, 2014. "The Twitter Effect: Social Media Usage as a Contributor to Movie Success," Economics Bulletin, AccessEcon, vol. 34(2), pages 793-809.
  • Handle: RePEc:ebl:ecbull:eb-13-00821
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2014/Volume34/EB-14-V34-I2-P73.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernard J. Jansen & Mimi Zhang & Kate Sobel & Abdur Chowdury, 2009. "Twitter power: Tweets as electronic word of mouth," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2169-2188, November.
    2. Levi Pérez, 2013. "What drives the number of new Twitter followers? An economic note and a case study of professional soccer teams," Economics Bulletin, AccessEcon, vol. 33(3), pages 1941-1947.
    3. Sang-Chul Jung & Myeong Hwan Kim, 2010. "Does the star power matter?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(11), pages 1037-1041.
    4. 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.
    5. Caroline Elliott & Rob Simmons, 2008. "Determinants of UK Box Office Success: The Impact of Quality Signals," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(2), pages 93-111, September.
    6. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    7. David Godes & Dina Mayzlin & Yubo Chen & Sanjiv Das & Chrysanthos Dellarocas & Bruce Pfeiffer & Barak Libai & Subrata Sen & Mengze Shi & Peeter Verlegh, 2005. "The Firm's Management of Social Interactions," Marketing Letters, Springer, vol. 16(3), pages 415-428, December.
    8. Morris B. Holbrook & Michela Addis, 2007. "Taste versus the Market: An Extension of Research on the Consumption of Popular Culture," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 415-424, May.
    9. Julianne Treme, 2010. "Effects of Celebrity Media Exposure on Box-Office Performance," Journal of Media Economics, Taylor & Francis Journals, vol. 23(1), pages 5-16.
    10. Julianne Treme & Lee A. Craig, 2013. "Celebrity star power: Do age and gender effects influence box office performance?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(5), pages 440-445, March.
    11. Randy Nelson & Robert Glotfelty, 2012. "Movie stars and box office revenues: an empirical analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 141-166, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oasis Kodila-Tedika, 2021. "Natural resource governance: does social media matter?," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(1), pages 127-140, April.
    2. 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.
    3. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    4. Leighton Vaughan Williams & James Reade, 2014. "Prediction Markets, Twitter and Bigotgate," Economics Discussion Papers em-dp2014-09, Department of Economics, University of Reading.
    5. Baranowski Paweł & Korczak Karol & Zając Jarosław, 2020. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland," Business Systems Research, Sciendo, vol. 11(1), pages 73-88, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kang, Lili & Peng, Fei & Anwar, Sajid, 2022. "All that glitters is not gold: Do movie quality and contents influence box-office revenues in China?," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 492-510.
    2. Lee, Youseok & Kim, Sang-Hoon & Cha, Kyoung Cheon, 2021. "Impact of online information on the diffusion of movies: Focusing on cultural differences," Journal of Business Research, Elsevier, vol. 130(C), pages 603-609.
    3. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    4. 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.
    5. Wang, Feng & Liu, Xuefeng & Fang, Eric (Er), 2015. "User Reviews Variance, Critic Reviews Variance, and Product Sales: An Exploration of Customer Breadth and Depth Effects," Journal of Retailing, Elsevier, vol. 91(3), pages 372-389.
    6. Thaís L. D. Souza & Marislei Nishijima & Ana C. P. Fava, 2019. "Do consumer and expert reviews affect the length of time a film is kept on screens in the USA?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(1), pages 145-171, March.
    7. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    8. Khare, Adwait & Labrecque, Lauren I. & Asare, Anthony K., 2011. "The Assimilative and Contrastive Effects of Word-of-Mouth Volume: An Experimental Examination of Online Consumer Ratings," Journal of Retailing, Elsevier, vol. 87(1), pages 111-126.
    9. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    10. Lili Kang & Fei Peng, 2024. "Star power as quality signal or marketing effect? A path analysis on China's motion‐picture industry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3639-3655, July.
    11. Zhang, Tao & Li, Gang & Cheng, T.C.E. & Lai, Kin Keung, 2017. "Welfare economics of review information: Implications for the online selling platform owner," International Journal of Production Economics, Elsevier, vol. 184(C), pages 69-79.
    12. Fan, Liu & Zhang, Xiaoping & Rai, Laxmisha, 2021. "When should star power and eWOM be responsible for the box office performance? - An empirical study based on signaling theory," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    13. Garrett P. Sonnier & Leigh McAlister & Oliver J. Rutz, 2011. "A Dynamic Model of the Effect of Online Communications on Firm Sales," Marketing Science, INFORMS, vol. 30(4), pages 702-716, July.
    14. Sangjae Lee & Joon Yeon Choeh, 2020. "Movie Production Efficiency Moderating between Online Word-of-Mouth and Subsequent Box Office Revenue," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    15. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    16. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    17. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    18. Gaenssle Sophia & Budzinski Oliver & Astakhova Daria, 2018. "Conquering the Box Office: Factors Influencing Success of International Movies in Russia," Review of Network Economics, De Gruyter, vol. 17(4), pages 245-266, December.
    19. Romain Cadario, 2015. "The impact of online word-of-mouth on television show viewership: An inverted U-shaped temporal dynamic," Marketing Letters, Springer, vol. 26(4), pages 411-422, December.
    20. Duan, Yongrui & Liu, Tonghui & Mao, Zhixin, 2022. "How online reviews and coupons affect sales and pricing: An empirical study based on e-commerce platform," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).

    More about this item

    Keywords

    Twitter; Social Media; Movies; Box Office; Star Power; Popular Media; Gender; Culture;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services
    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-13-00821. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.