This article demonstrates that, in a «Big Data» world, comments of social media users can be used to support the action of policy-makers across all the steps of the policy cycle. It applies a modern technique of Supervised Aggregated Sentiment Analysis to three public policies introduced in Italy from 2012 to 2014: the abolishment of the public funding of political parties, the «jobs act» labour market reform and the «80 euros tax bonus». Results show that social media analysis can help policy-makers to accomplish the following tasks: 1) developing synthetic indicators that serve as «fire alarms» on relevant topics; 2) rating the available policy alternatives according to citizens' preferences; 3) monitoring citizens' behaviours and opinions during the implementation of a public policy.
Public policy and social media : how sentiment analysis can support policy-makers across the policy cycle / A. Ceron, F. Negri. - In: RIVISTA ITALIANA DI POLITICHE PUBBLICHE. - ISSN 1722-1137. - 10:3(2015 Dec), pp. 309-338. [10.1483/81600]
Public policy and social media : how sentiment analysis can support policy-makers across the policy cycle
A. CeronPrimo
;F. NegriUltimo
2015
Abstract
This article demonstrates that, in a «Big Data» world, comments of social media users can be used to support the action of policy-makers across all the steps of the policy cycle. It applies a modern technique of Supervised Aggregated Sentiment Analysis to three public policies introduced in Italy from 2012 to 2014: the abolishment of the public funding of political parties, the «jobs act» labour market reform and the «80 euros tax bonus». Results show that social media analysis can help policy-makers to accomplish the following tasks: 1) developing synthetic indicators that serve as «fire alarms» on relevant topics; 2) rating the available policy alternatives according to citizens' preferences; 3) monitoring citizens' behaviours and opinions during the implementation of a public policy.File | Dimensione | Formato | |
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