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dc.contributorCasteleyn, Sven
dc.contributorTrindade Painho, Marco Octavio
dc.contributor.authorPopova, Kerina
dc.contributor.otherUniversitat Jaume I. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2015-12-09T14:12:59Z
dc.date.available2015-12-09T14:12:59Z
dc.date.issued2015-02-27
dc.identifier.urihttp://hdl.handle.net/10234/142852
dc.descriptionTreball de Final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2013). Codi: SIW013. Curs acadèmic 2014-2015ca_CA
dc.description.abstractiv POLITICIZATION OF NON-POLITICAL EVENTS: A Geospatial Analysis of Twitter Content During The 2014 FIFA World Cup ABSTRACT Spatial analysis and social network analysis typically take into consideration social processes in specific contexts of geographical or network space. The research in political science increasingly strives to model heterogeneity and spatial dependence. To better understand and geographically model the relationship between “non-political” events, streaming data from social networks, and political climate was the primary objective of the current study. Geographic information systems (GIS) are useful tools in the organization and analysis of streaming data from social networks. In this study, geographical and statistical analysis were combined in order to define the temporal and spatial nature of the data eminating from the popular social network Twitter during the 2014 FIFA World Cup. The study spans the entire globe because Twitter’s geotagging function, the fundamental data that makes this study possible, is not limited to a geographic area. By examining the public reactions to an inherenlty non-political event, this study serves to illuminate broader questions about social behavior and spatial dependence. From a practical perspective, the analyses demonstrate how the discussion of political topics fluсtuate according to football matches. Tableau and Rapidminer, in addition to a set basic statistical methods, were applied to find patterns in the social behavior in space and time in different geographic regions. It was found some insight into the relationship between an ostensibly non-political event – the World Cup - and public opinion transmitted by social media. The methodology could serve as a prototype for future studies and guide policy makers in governmental and non-governmental organizations in gauging the public opinion in certain geographic locations.ca_CA
dc.format.extent55 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherUniversitat Jaume Ica_CA
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Spain*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectMàster Universitari Erasmus Mundus en Tecnologia Geoespacialca_CA
dc.subjectErasmus Mundus University Master's Degree in Geospatial Technologiesca_CA
dc.subjectGeographical Information Systemsca_CA
dc.subjectSpatial Decision Support Systemsca_CA
dc.subjectGIS Applicationsca_CA
dc.subjectPoliticsca_CA
dc.subjectSpatial analysisca_CA
dc.subjectGeo-social analysisca_CA
dc.subjectClusteringca_CA
dc.subjectPostGISca_CA
dc.subjectDistributionca_CA
dc.subjectTermsca_CA
dc.subjectRca_CA
dc.subjectRapidMinerca_CA
dc.subjectTwitterca_CA
dc.subjectTableauca_CA
dc.subjectMáster Universitario Erasmus Mundus en Tecnología Geoespacial
dc.titlePoliticization of non-political events: A Geospatial Analysis of Twitter Content During The 2014 FIFA World Cupca_CA
dc.typeinfo:eu-repo/semantics/masterThesisca_CA
dc.educationLevelEstudios de Postgradoca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA


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Attribution-NonCommercial-ShareAlike 3.0 Spain
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