Zobrazit minimální záznam

Digitální hrozby pro demokracii: Zkoumání komplexit zasahování do voleb prostřednitvím informačních operací nestátních aktérů a jejich propojení s datovým kolonialismem v oblasti globálního jihu
dc.contributor.advisorŠpelda, Petr
dc.creatorBrannen, Morgan
dc.date.accessioned2024-01-05T13:11:05Z
dc.date.available2024-01-05T13:11:05Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/20.500.11956/187350
dc.description.abstractThe integration of data-driven microtargeting techniques in political campaigning has transformed modern domestic and global politics. Contemporary elections cycles are witnessing a surge in attack advertisements, fake news, and data manipulation, fuelled by the emergence of political consulting firms like Cambridge Analytica. These firms, as non-state information operations actors (IOAs), have emerged as influential players with considerable sway over democratic stability worldwide. This dissertation aims to explore the role of such actors in Kenya's Presidential Elections of 2013 and 2017, combining existing research with the concept of 'Data Colonialism'. The study seeks to understand how non-state IOAs engage in digital election interference and potentially contribute to data colonial practices, paving the way for more effective regulation and protection of democratic processes in the Global South. This dissertation used qualitative data from investigations and news reports to thematically analyse the actions of non-state IOAs in the 2013 and 2017 Kenyan Presidential Elections. The findings were then interpreted in accordance with a data colonialism framework to understand the potential implications of digital election interference in the Global South. Through this approach, the study reveals...en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Fakulta sociálních vědcs_CZ
dc.titleDigital Threats to Democracy: Investigating the Complexities of Election Interference by Non-State Information Operations Actors and its Connection to Data Colonialism in the Global Southen_US
dc.typediplomová prácecs_CZ
dcterms.created2023
dcterms.dateAccepted2023-09-21
dc.description.departmentDepartment of Security Studiesen_US
dc.description.departmentKatedra bezpečnostních studiícs_CZ
dc.description.facultyFaculty of Social Sciencesen_US
dc.description.facultyFakulta sociálních vědcs_CZ
dc.identifier.repId259528
dc.title.translatedDigitální hrozby pro demokracii: Zkoumání komplexit zasahování do voleb prostřednitvím informačních operací nestátních aktérů a jejich propojení s datovým kolonialismem v oblasti globálního jihucs_CZ
dc.contributor.refereeAlì, Antonino
thesis.degree.nameMgr.
thesis.degree.levelnavazující magisterskécs_CZ
thesis.degree.disciplineInternational Master in Security, Intelligence and Strategic Studies (IMSISS)en_US
thesis.degree.disciplineInternational Master in Security, Intelligence and Strategic Studies (IMSISS)cs_CZ
thesis.degree.programInternational Master in Security, Intelligence and Strategic Studies (IMSISS)en_US
thesis.degree.programInternational Master in Security, Intelligence and Strategic Studies (IMSISS)cs_CZ
uk.thesis.typediplomová prácecs_CZ
uk.taxonomy.organization-csFakulta sociálních věd::Katedra bezpečnostních studiícs_CZ
uk.taxonomy.organization-enFaculty of Social Sciences::Department of Security Studiesen_US
uk.faculty-name.csFakulta sociálních vědcs_CZ
uk.faculty-name.enFaculty of Social Sciencesen_US
uk.faculty-abbr.csFSVcs_CZ
uk.degree-discipline.csInternational Master in Security, Intelligence and Strategic Studies (IMSISS)cs_CZ
uk.degree-discipline.enInternational Master in Security, Intelligence and Strategic Studies (IMSISS)en_US
uk.degree-program.csInternational Master in Security, Intelligence and Strategic Studies (IMSISS)cs_CZ
uk.degree-program.enInternational Master in Security, Intelligence and Strategic Studies (IMSISS)en_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enThe integration of data-driven microtargeting techniques in political campaigning has transformed modern domestic and global politics. Contemporary elections cycles are witnessing a surge in attack advertisements, fake news, and data manipulation, fuelled by the emergence of political consulting firms like Cambridge Analytica. These firms, as non-state information operations actors (IOAs), have emerged as influential players with considerable sway over democratic stability worldwide. This dissertation aims to explore the role of such actors in Kenya's Presidential Elections of 2013 and 2017, combining existing research with the concept of 'Data Colonialism'. The study seeks to understand how non-state IOAs engage in digital election interference and potentially contribute to data colonial practices, paving the way for more effective regulation and protection of democratic processes in the Global South. This dissertation used qualitative data from investigations and news reports to thematically analyse the actions of non-state IOAs in the 2013 and 2017 Kenyan Presidential Elections. The findings were then interpreted in accordance with a data colonialism framework to understand the potential implications of digital election interference in the Global South. Through this approach, the study reveals...en_US
uk.file-availabilityV
uk.grantorUniverzita Karlova, Fakulta sociálních věd, Katedra bezpečnostních studiícs_CZ
thesis.grade.codeB
uk.publication-placePrahacs_CZ
uk.thesis.defenceStatusO


Soubory tohoto záznamu

Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail

Tento záznam se objevuje v následujících sbírkách

Zobrazit minimální záznam


© 2017 Univerzita Karlova, Ústřední knihovna, Ovocný trh 560/5, 116 36 Praha 1; email: admin-repozitar [at] cuni.cz

Za dodržení všech ustanovení autorského zákona jsou zodpovědné jednotlivé složky Univerzity Karlovy. / Each constituent part of Charles University is responsible for adherence to all provisions of the copyright law.

Upozornění / Notice: Získané informace nemohou být použity k výdělečným účelům nebo vydávány za studijní, vědeckou nebo jinou tvůrčí činnost jiné osoby než autora. / Any retrieved information shall not be used for any commercial purposes or claimed as results of studying, scientific or any other creative activities of any person other than the author.

DSpace software copyright © 2002-2015  DuraSpace
Theme by 
@mire NV