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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)

Abstract

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.

Keywords

topic detection Twitter football 

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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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