Spot the Ball: Detecting Sports Events on Twitter

  • David Corney
  • Carlos Martin
  • Ayse Göker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)


Messages from social media are increasingly being mined to extract useful information and to detect trends. These can relate to matters as serious as earthquakes and wars or as trivial as haircuts and cats. Football remains one of the world’s most popular sports, and events within big matches are heavily discussed on Twitter. It therefore provides an excellent case study for event detection.

Here we analyse tweets about the FA Cup final, the climax of the English football season, for 2012 and 2013. We evaluate an automated topic detection system using a ground truth derived from mainstream media. We also show that messages can be associated with different teams’ fans, and that they discuss the same events from very different perspectives.


topic detection Twitter football 


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  1. 1.
    Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proc. of WWW 2010, pp. 851–860. ACM (2010)Google Scholar
  2. 2.
    Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. Journal of Computational Science 2(1), 1–8 (2011)CrossRefGoogle Scholar
  3. 3.
    Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with Twitter: What 140 characters reveal about political sentiment. In: Proceedings of 4th ICWSM, vol. 10, pp. 178–185 (2010)Google Scholar
  4. 4.
    Newman, N.: The rise of social media and its impact on mainstream journalism. Reuters Institute for the Study of Journalism (2009)Google Scholar
  5. 5.
    FIFA TV: 2010 FIFA World Cup South Africa: Television audience report (2010)Google Scholar
  6. 6.
    Semiocast: Brazil becomes 2nd country on Twitter, Japan 3rd Netherlands most active country, Paris, France (January 2012)Google Scholar
  7. 7.
    Twitter: Twitter & TV: Use the power of television to grow your impact,
  8. 8.
    Goel, V., Stelter, B.: Social networks in a battle for the second screen. The New York Times (October 2, 2013)Google Scholar
  9. 9.
    Aiello, L., Petkos, G., Martin, C., Corney, D., Papadopoulos, S., Skraba, R., Goker, A., Kompatsiaris, I., Jaimes, A.: Sensing trending topics in Twitter. IEEE Transactions on Multimedia 15(6), 1268–1282 (2013)CrossRefGoogle Scholar
  10. 10.
    van Oorschot, G., van Erp, M., Dijkshoorn, C.: Automatic extraction of soccer game events from Twitter. In: Proc. of the Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (2012)Google Scholar
  11. 11.
    Zhao, S., Zhong, L., Wickramasuriya, J., Vasudevan, V.: Human as real-time sensors of social and physical events: A case study of Twitter and sports games. arXiv preprint arXiv:1106.4300 (2011)Google Scholar
  12. 12.
    Lanagan, J., Smeaton, A.F.: Using Twitter to detect and tag important events in live sports. In: Artificial Intelligence, pp. 542–545 (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • David Corney
    • 1
  • Carlos Martin
    • 1
  • Ayse Göker
    • 1
  1. 1.IDEAS Research Institute, School of Computing & Digital MediaRobert Gordon UniversityAberdeenUK

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