Autori
Negri, Fedra
Ceron, Andrea

Titolo
Public Policy and Social Media: How Sentiment Analysis Can Support Policy-Makers Across the Policy Cycle
Periodico
Rivista italiana di politiche pubbliche
Anno: 2015 - Fascicolo: 3 - Pagina iniziale: 309 - Pagina finale: 338

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.



SICI: 1722-1137(2015)3<309:PPASMH>2.0.ZU;2-I
Testo completo: https://www.rivisteweb.it/download/article/10.1483/81600
Testo completo alternativo: https://www.rivisteweb.it/doi/10.1483/81600

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