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A multi-level analysis of subordinate group organization

Rivera, Caitlin (2026) A multi-level analysis of subordinate group organization. Doctor of Philosophy (PhD) thesis, University of Kent. (doi:10.22024/UniKent/01.02.115822) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:115822)

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https://doi.org/10.22024/UniKent/01.02.115822

Abstract

This dissertation engages with the question of how groups that are subordinate to a majority population organize in order to achieve change. Drawing on semi-structured interviews and discourse analysis of online groups, this dissertation argues that multiple levels of organization are necessary in order to achieve change. An internal level of organization is necessary as well as an outward-facing organizational structure. It is the interplay of these two levels that determine whether a subordinate group will be able to achieve change in the face of external pressure. Both internal and external factors thus play a role.

This dissertation calls for future research into such multi-level organizing on the part of groups subordinate to a majority, particularly in light of the emergence of AI. Interviews and research for this dissertation were carried out prior to the development of publicly available AI models. It is possible that AI might support groups in organizing, but it is also possible that AI may undermine such efforts in ways that still need to be researched. This research has opened up new avenues for research in the area of multi-level organizing and of the role of AI in multi-level organizing.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Klekowski von Koppenfels, Amanda
Thesis advisor: Savic, Bojan
DOI/Identification number: 10.22024/UniKent/01.02.115822
Uncontrolled keywords: social media; mobilisation; military politics
Subjects: J Political Science
Institutional Unit: Schools > School of Economics and Politics and International Relations
Former Institutional Unit:
There are no former institutional units.
SWORD Depositor: System Moodle
Depositing User: System Moodle
Date Deposited: 03 Aug 2026 14:10 UTC
Last Modified: 04 Aug 2026 13:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/115822 (The current URI for this page, for reference purposes)

University of Kent Author Information

Rivera, Caitlin.

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