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Detection of Football Spoilers on Twitter

  • Yuji Shiratori
  • Yoshiki Maki
  • Satoshi Nakamura
  • Takanori Komatsu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11000)

Abstract

Sports spoilers on SNS services such as Twitter, Facebook and so on spoil viewers’ enjoyment when watching recorded matches. To avoid spoilers, people sometimes stay away from SNSs. However, people often use SNSs to habitually check messages posted by their friends and build and maintain their relationships. Therefore, we need an automatic method for detecting spoilers from SNSs. In this paper, we generated a Japanese spoiler dataset on Twitter and investigated the characteristics of the spoilers to create a foothold in construction of automatic spoiler detection system. Consequently, we clarified the relationship between spoilers and the statuses of football matches. In addition, we compared three methods for detecting spoilers and show the usefulness of SVM with Status of Match method.

Keywords

Blocking spoilers Machine learning Sports Football SNS Twitter 

Notes

Acknowledgments

This work was supported in part by JST ACCEL Grant Number JPMJAC1602, Japan.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Yuji Shiratori
    • 1
  • Yoshiki Maki
    • 1
  • Satoshi Nakamura
    • 1
  • Takanori Komatsu
    • 1
  1. 1.Meiji UniversityNakano-KuJapan

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