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What drives the number of new Twitter followers? An economic note and a case study of professional soccer teams

Author

Listed:
  • Levi Pérez

    (Department of Economics, University of Oviedo)

Abstract

This paper examines the factors motivating people to join social networks. In particular, use of Twitter as a medium to get live feeds from sports organizations is analyzed. The focus is on the relationship between the success of professional soccer teams and the number of new Twitter users following teams. Results show that the most successful teams have the highest rates of recruitment of new Twitter followers. This can be explained in terms of the increasing utility received by followers from their favorite team winnings.

Suggested Citation

  • 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.
  • Handle: RePEc:ebl:ecbull:eb-13-00144
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    File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I3-P181.pdf
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    References listed on IDEAS

    as
    1. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    2. Minho Kim & Han Mo Oh & Ronald McNiel, 2008. "Determinants of online shoppers' satisfaction in Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 805-808.
    3. Hong, Sounman, 2012. "Online news on Twitter: Newspapers’ social media adoption and their online readership," Information Economics and Policy, Elsevier, vol. 24(1), pages 69-74.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Nicolas Scelles & Boris Helleu & Christophe Durand & Liliane Bonnal & Stephen Morrow, 2017. "Explaining the Number of Social Media Fans for North American and European Professional Sports Clubs with Determinants of Their Financial Value," IJFS, MDPI, vol. 5(4), pages 1-19, November.
    2. Kari L. J. Goold & Reynafe N. Aniga & Peter B. Gray, 2020. "Sports under Quarantine: A Case Study of Major League Baseball in 2020," Social Sciences, MDPI, vol. 10(1), pages 1-14, December.
    3. 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.
    4. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2017. "Sentiment Bias And Asset Prices: Evidence From Sports Betting Markets And Social Media," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1119-1129, April.
    5. Kunz-Kaltenhäuser, Philipp, 2023. "Sports teams' home market size in the digital age: Analyzing social media drawing power," Ilmenau Economics Discussion Papers 175, Ilmenau University of Technology, Institute of Economics.
    6. Nicolas Scelles & Boris Helleu & Christophe Durand & Liliane Bonnal & Stephen Morrow, 2017. "Explaining the Number of Social Media Fans for North American and European Professional Sports Clubs with Determinants of Their Financial Value," Post-Print halshs-02110645, HAL.

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    More about this item

    Keywords

    Twitter; followers; soccer; panel data;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services

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