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
Link To Document