140 characters to victory?: Using Twitter to predict the UK 2015 General Election

• Pete Burnap ^[1] ; Rachel Gibson ^[2] ; Luke Sloan ^[1] ; Rosalynd Southern ^[2] ; Matthew Williams ^[1]
  1. [1] Cardiff University

     Cardiff University

     Castle, Reino Unido

     
  2. [2] University of Manchester

     University of Manchester

     Reino Unido

     
• Localización: Electoral Studies: An international Journal, ISSN 0261-3794, Nº 41, 2016, págs. 230-233
• Idioma: inglés
• DOI: 10.1016/j.electstud.2015.11.017
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• Dialnet Métricas: 3 Citas
• Resumen

  • This paper uses Twitter data to forecast the outcome of the 2015 UK General Election. While a number of empirical studies to date have demonstrated striking levels of accuracy in estimating election results using this new data source, there have been no genuine i.e. pre-election forecasts issued to date. Furthermore there have been widely varying methods and models employed with seemingly little agreement on the core criteria required for an accurate estimate. We attempt to address this deficit with our ‘baseline’ model of prediction that incorporates sentiment analysis and prior party support to generate a true forecast of parliament seat allocation. Our results indicate a hung parliament with Labour holding the majority of seats.