Politicization of non-political events: A Geospatial Analysis of Twitter Content During The 2014 FIFA World Cup
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Título
Politicization of non-political events: A Geospatial Analysis of Twitter Content During The 2014 FIFA World CupAutoría
Tutor/Supervisor
Casteleyn, Sven; Trindade Painho, Marco OctavioTutor/Supervisor; Universidad.Departamento
Universitat Jaume I. Departament de Llenguatges i Sistemes InformàticsFecha de publicación
2015-02-27Editor
Universitat Jaume IResumen
iv
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 ... [+]
iv
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. [-]
Palabras clave / Materias
Màster Universitari Erasmus Mundus en Tecnologia Geoespacial | Erasmus Mundus University Master's Degree in Geospatial Technologies | Geographical Information Systems | Spatial Decision Support Systems | GIS Applications | Politics | Spatial analysis | Geo-social analysis | Clustering | PostGIS | Distribution | Terms | R | RapidMiner | Twitter | Tableau | Máster Universitario Erasmus Mundus en Tecnología Geoespacial
Descripción
Treball de Final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2013). Codi: SIW013. Curs acadèmic 2014-2015
Tipo de documento
info:eu-repo/semantics/masterThesisDerechos de acceso
info:eu-repo/semantics/openAccess
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