• DocumentCode
    3717318
  • Title

    Mixed-initiative social media analytics at the World Bank: Observations of citizen sentiment in Twitter data to explore "trust" of political actors and state institutions and its relationship to social protest

  • Author

    Nadya A. Calderon;Brian Fisher;Jeff Hemsley;Billy Ceskavich;Greg Jansen;Richard Marciano;Victoria L. Lemieux

  • Author_Institution
    Simon Fraser University
  • fYear
    2015
  • Firstpage
    1678
  • Lastpage
    1687
  • Abstract
    This paper discusses a project that studied the relationship between citizen trust and social protest using visual analysis of approximately 11 million sentiment classified Tweets from the period of the 2014 Brazilian World Cup. The results of the study reveal that the 2014 World Cup protests in Brazil sprang from a wide range of grievances coupled with a relative sense of deprivation compared with emergent comparative `standards´. This sense of grievance gave rise to sentiments that activated online protest that may have led to other forms of social protest, such as demonstrations. The paper describes an innovative approach to big data analytics-mixed initiative social media analytics - and discusses the potential of using big data in social science research of this kind, as well as some of the open methodological, technical and ethical issues still to be addressed.
  • Keywords
    "Media","Government","Twitter","Big data","Visualization","Standards","Predictive models"
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BigData.2015.7363939
  • Filename
    7363939