Computational Methods for the Social Sciences: Applications to the Study of Ethnic Minorities

Faculty/Professorship: Political Sociology  ; Fakultät Sozial- und Wirtschaftswissenschaften: Abschlussarbeiten 
Author(s): Schwemmer, Carsten
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2019
Pages: 169 ; Illustrationen, Diagramme, Karten
Supervisor(s): Helbling, Marc; Saalfeld, Thomas  ; Fischbach, Kai  
Language(s): English
Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2019
DOI: 10.20378/irb-46463
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-464634
Interactions between mainstream societies and minorities lead to the emergence of many societal problems, such as political mobilization with the aim to maintain power of majority members and exclude members of immigrant origin. The overarching question for this cumulative dissertation is: how can computational methods at the intersection of computer science and statistics be applied to provide new insights for the study of ethnic minorities? The articles for this dissertation include findings from research across three related and interconnected domains: ethnic discrimination in the sharing economy, political representation of ethnic minorities and collective action driven by xenophobia. In the preface I discuss both the substantial contributions of these articles as well as technical details about the application of computational methods. I close with some remarks about the present and the future of Computational Social Science
GND Keywords: Deutschland; Nationale Minderheit; Diskriminierung; Repräsentation <Politik>; Sozialwissenschaften; Forschungsmethode; Computerunterstütztes Verfahren
DDC Classification: 320 Political Science  
RVK Classification: MS 3300   
Type: Doctoralthesis
Release Date: 13. December 2019

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