Zubiaga, Arkaitz (2017) Analysing the social fingerprints of pro-independence movements. In: Reilly, Paul and Veneti, Anastasia and Atanasova, Dimitrinka, (eds.) Politics, Protest, Emotion: Interdisciplinary Perspectives. Sheffield, UK: Information School, University of Sheffield, pp. 123-127.

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Abstract

Researchers increasingly turn to social media to analyse the online fingerprints produced by offline political movements. Social media such as Twitter have been exploited to learn about society in events such as elections, major protests and other crises and emergencies. However, the analysis of smaller, more obscure communities (with respect to Twitter, but which have an otherwise salient presence), has been studied to a lesser extent. This is the case of pro-independence movements where a smaller part of an existing country makes claims for its independence from the rest of the country. There might be many pro-independence supporters within that region, but that does not always suffice to make it to Twitter’s list of trending topics and/or to reach a broad share of Twitter users, which is however crucial to ensure that the community is visible to others.

Item Type:	Book Item
Subjects:	H Social Sciences > HM Sociology Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Autonomy and independence movements -- Technological innovations, País Vasco (Spain) -- History -- Autonomy and independence movements, Catalonia (Spain) -- History -- Autonomy and independence movements, Twitter -- Political aspects, Social media -- Political aspects, Data mining, Application program interfaces (Computer software)
Publisher:	Information School, University of Sheffield
Place of Publication:	Sheffield, UK
Book Title:	Politics, Protest, Emotion: Interdisciplinary Perspectives
Editor:	Reilly, Paul and Veneti, Anastasia and Atanasova, Dimitrinka
Official Date:	17 January 2017
Dates:	Date Event 17 January 2017 Published
Page Range:	pp. 123-127
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Description:	Internet resource
Related URLs:	Publisher Publisher
Open Access Version:	Publisher

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