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We feel fine : big data observations of citizen sentiment about state institutions and social inclusion (English)

Motivated by the significant decline in citizen’s trust in governments over the past decades, this paper explores how policy decision makers and researchers can use social media analytics to investigate trust, specifically the relationship among trust in government, trust in state institutions, and citizens’ collective behavior. Analysis of these complex socio-political issues using online social data requires a human in the inference loop while also benefiting from computational methods to handle large amounts of unstructured data and the inference of relevant data features. To highlight the power of a mixed-initiative visual analytics-data science approach, this technical note describes the exploratory analysis work undertaken for analysis of collections of Tweets from Brazil, and describes further work that conceives data science methods to assist the analysis process by supporting definition of constructs of concepts of interest using social media data, and assisting the evaluation of evidence for hypotheses evaluation in an interactive-machine learning fashion. The outcomes of this project aim to support social sciences inquiry using observational social media data and World Bank operations.

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Citation

Lemieux,Victoria Louise

We feel fine : big data observations of citizen sentiment about state institutions and social inclusion (English). Technical knowledge note Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/602301468187776012/We-feel-fine-big-data-observations-of-citizen-sentiment-about-state-institutions-and-social-inclusion