Forecasting with Social Media: Evidence from Tweets on Soccer Matches

Alasdair Brown (Lead / Corresponding author), Dooruj Rambaccussing, J. James Reade, Giambattista Rossi

Research output: Contribution to journalArticle

10 Citations (Scopus)
81 Downloads (Pure)

Abstract

Social media is now used as a forecasting tool by a variety of firms and agencies. But how useful are such data in forecasting outcomes? Can social media add any information to that produced by a prediction/betting market? We source 13.8m posts from Twitter, and combine them with contemporaneous Betfair betting prices, to forecast the outcomes of English Premier League soccer matches as they unfold. Using a micro-blogging dictionary to analyse the content of Tweets, we find that the aggregate tone of Tweets contains significant information not in betting prices, particularly in the immediate aftermath of goals and red cards.
Original languageEnglish
Pages (from-to)1748-1763
Number of pages16
JournalEconomic Inquiry
Volume56
Issue number3
Early online date12 Oct 2017
DOIs
Publication statusPublished - Jul 2018

Keywords

  • forecasting
  • social media
  • prediction markets
  • wisdom of crowds
  • soccer

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