This article aims to show how an approach with a mixed method orientation, combining big and small data, can be fruitfully used to study political participation. The limits of using exclusively of Big Data downloaded from the web (in particular from Twitter) can be partially overcome through a pluralist methodological approach. This case of empirical research, a web survey conducted during the campaign for the parliamentary elections in 2013, highlights the value of this approach in the study of political participation, online and offline, in relation to all its conceptual dimensions, as well as to other social phenomena.

Tra big e small data. La partecipazione politica degli utenti Twitter / Faggiano, Maria Paola; DI GIAMMARIA, Loris. - In: SOCIOLOGIA E RICERCA SOCIALE. - ISSN 1121-1148. - 109:(2016), pp. 143-158. [10.3280/SR2016-109012]

Tra big e small data. La partecipazione politica degli utenti Twitter

Faggiano Maria Paola;Di Giammaria Loris
2016

Abstract

This article aims to show how an approach with a mixed method orientation, combining big and small data, can be fruitfully used to study political participation. The limits of using exclusively of Big Data downloaded from the web (in particular from Twitter) can be partially overcome through a pluralist methodological approach. This case of empirical research, a web survey conducted during the campaign for the parliamentary elections in 2013, highlights the value of this approach in the study of political participation, online and offline, in relation to all its conceptual dimensions, as well as to other social phenomena.
2016
Big Data; Small Data; Twitter; digital campaign; general elections 2013
01 Pubblicazione su rivista::01a Articolo in rivista
Tra big e small data. La partecipazione politica degli utenti Twitter / Faggiano, Maria Paola; DI GIAMMARIA, Loris. - In: SOCIOLOGIA E RICERCA SOCIALE. - ISSN 1121-1148. - 109:(2016), pp. 143-158. [10.3280/SR2016-109012]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1464558
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