Open Conference Systems, STATISTICS AND DATA SCIENCE: NEW CHALLENGES, NEW GENERATIONS

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How to Exploit Big Data from Social Networks: a Subjective Well-being Indicator via Twitter
Stefano Maria Iacus, Giuseppe Porro, Silvia Salini, Elena Siletti

Last modified: 2017-05-20

Abstract


In our research we apply a new technique of opinion analysis over Twitter data to propose a new indicator of perceived and subjective well-being: The Subjective Well-being Index (SWBI), that examines many dimension of individual and social life. In the purpose to investigate whether SWBI and its single components may adequately represent the reaction of a community to changes in everyday life conditions, we propose a comparative analysis, among the Italian provinces, of perceived well-being, measured with SWBI, with objective well-being, measured with the Il Sole 24 Ore QoL Index. The idea is to create a composite well-being indicator which mixes stable official statistics and fluctuating social media data.