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 SWBI examines many dimension of individual and social life. In the purpose to investigate whether SWBI and its single components may ad- equately 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, mea- sured 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 so- cial media data.

How to exploit big data from social networks: a subjective well–being indicator via Twitter

PORRO, GIUSEPPE;
2017-01-01

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 SWBI examines many dimension of individual and social life. In the purpose to investigate whether SWBI and its single components may ad- equately 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, mea- sured 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 so- cial media data.
2017
Università degli Studi di Firenze
9788864535210
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2063791
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