In our research we apply a new technique of sentiment analysis to Twitter data to estimate a new indicator of perceived and subjective well-being in the Italian provinces: The Social Well-being Index (SWBI), that examines many dimension of individual and social life. By providing an overview of the level of well-being across Italian province, the purpose is to provide results to investigate the effectiveness of local policies and to support researchers and institutions in the design of future well-being strategies. With this scope we use a multidimensional approach melting the SWBI dimensions with the well-known Il Sole 24 Ore QoL index from 2012 to 2016 to provide a subjective and objective index and to investigate whether the single components may adequately represent the reaction of local communities to changes in everyday life conditions.
Social networks data and subjective well-being: an innovative measurement for Italian provinces
G. Porro;
2019-01-01
Abstract
In our research we apply a new technique of sentiment analysis to Twitter data to estimate a new indicator of perceived and subjective well-being in the Italian provinces: The Social Well-being Index (SWBI), that examines many dimension of individual and social life. By providing an overview of the level of well-being across Italian province, the purpose is to provide results to investigate the effectiveness of local policies and to support researchers and institutions in the design of future well-being strategies. With this scope we use a multidimensional approach melting the SWBI dimensions with the well-known Il Sole 24 Ore QoL index from 2012 to 2016 to provide a subjective and objective index and to investigate whether the single components may adequately represent the reaction of local communities to changes in everyday life conditions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.