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Essays on Protest Mobilization in Authoritarian Regimes PDF

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UC San Diego UC San Diego Electronic Theses and Dissertations Title Essays on Protest Mobilization in Authoritarian Regimes Permalink https://escholarship.org/uc/item/6f44z6nm Author Steinert-Threlkeld, Zachary Publication Date 2016 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Essays on Protest Mobilization in Authoritarian Regimes A Dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Political Science by Zachary Caleb Steinert-Threlkeld Committee in charge: Professor Emile M. Hafner-Burton, Chair Professor James H. Fowler, Co-Chair Professor J. Lawrence Broz Professor David A. Lake Professor Barbara F. Walter 2016 Copyright Zachary Caleb Steinert-Threlkeld, 2016 All rights reserved. The Dissertation of Zachary Caleb Steinert-Threlkeld is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2016 iii DEDICATION To my parents, Kayte and Tom. iv EPIGRAPH Disobedience is the true foundation of liberty. — Henry David Thoreau v TABLE OF CONTENTS Signature Page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii Dedication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv Epigraph . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . x Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi Vita . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xvi Abstract of the Dissertation . . . . . . . . . . . . . . . . . . . . . . . . . . . . xvii Chapter 1 Spontaneous Collective Action: Peripheral Mobilization During the Arab Spring . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.3.1 Scope Conditions . . . . . . . . . . . . . . . . . . . 14 1.4 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 1.5 Measures . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.5.1 Coordination . . . . . . . . . . . . . . . . . . . . . 22 1.5.2 Core Coordination . . . . . . . . . . . . . . . . . . 26 1.6 Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 1.7 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.7.1 Verification . . . . . . . . . . . . . . . . . . . . . . 37 1.8 Exogenous Identification of the Core in Egypt . . . . . . . 49 1.9 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 1.10 Supplementary Materials . . . . . . . . . . . . . . . . . . . 58 1.10.1 Twitter Data . . . . . . . . . . . . . . . . . . . . . 58 1.10.2 Construction of Coordination Measure . . . . . . . 58 1.10.3 Alternate Measures of Elites . . . . . . . . . . . . . 65 1.10.4 Exploring Upper Tail of Core Distribution . . . . . 67 1.10.5 Potential Model Misspecification . . . . . . . . . . . 73 1.10.6 Placebo Tests . . . . . . . . . . . . . . . . . . . . . 78 1.10.7 Events Data . . . . . . . . . . . . . . . . . . . . . . 81 vi 1.10.8 Deeper Analysis of Egypt, Bahrain, Morocco, and Qatar . . . . . . . . . . . . . . . . . . . . . . . . . 90 1.10.9 Shared and Unique Words for Hashtags . . . . . . . 94 1.10.10Topic Model Detail . . . . . . . . . . . . . . . . . . 97 1.11 Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 100 Chapter 2 Activism and Protest in Authoritarian Regimes . . . . . . . . . 101 2.1 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 2.2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 102 2.3 Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 2.4 Research Design . . . . . . . . . . . . . . . . . . . . . . . . 119 2.5 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 2.6 Activists and Policy Negotiation . . . . . . . . . . . . . . . 138 2.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 2.8 Supplementary Material . . . . . . . . . . . . . . . . . . . 145 2.8.1 Detail on Topic Models . . . . . . . . . . . . . . . . 145 2.8.2 Mobility . . . . . . . . . . . . . . . . . . . . . . . . 148 2.8.3 Hashtag Topics by Social Movement . . . . . . . . . 149 2.8.4 Blackout . . . . . . . . . . . . . . . . . . . . . . . . 156 2.9 Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 162 Chapter 3 Longitudinal Network Analysis with Incomplete Data . . . . . . 163 3.1 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164 3.2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 165 3.3 Two Measures for Network Analysis . . . . . . . . . . . . . 167 3.3.1 Inference of Edge Formation . . . . . . . . . . . . . 167 3.3.2 Centrality Measurement with Incomplete Data . . . 171 3.4 Network Data . . . . . . . . . . . . . . . . . . . . . . . . . 175 3.4.1 Twitter . . . . . . . . . . . . . . . . . . . . . . . . 175 3.4.2 Network Data from Twitter . . . . . . . . . . . . . 178 3.5 Activism During the Arab Spring . . . . . . . . . . . . . . 181 3.5.1 Background . . . . . . . . . . . . . . . . . . . . . . 181 3.5.2 Acquiring Activism Data . . . . . . . . . . . . . . . 182 3.6 Application . . . . . . . . . . . . . . . . . . . . . . . . . . 184 3.6.1 Reconstructing Daily Network Change . . . . . . . 184 3.6.2 Daily Changes in Influence . . . . . . . . . . . . . . 192 3.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 3.8 Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 199 Chapter 4 Twitter as Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 200 4.1 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 4.2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 201 4.3 Why Twitter? . . . . . . . . . . . . . . . . . . . . . . . . . 202 4.4 Acquiring Data from Twitter . . . . . . . . . . . . . . . . . 205 vii 4.4.1 Purchase . . . . . . . . . . . . . . . . . . . . . . . . 205 4.4.2 Collaborate . . . . . . . . . . . . . . . . . . . . . . 207 4.4.3 Acquire on Your Own . . . . . . . . . . . . . . . . . 209 4.4.4 Access Constraints and Replication . . . . . . . . . 214 4.4.5 A Note on Programming . . . . . . . . . . . . . . . 217 4.5 Types of Questions . . . . . . . . . . . . . . . . . . . . . . 220 4.5.1 Networks . . . . . . . . . . . . . . . . . . . . . . . . 220 4.5.2 Text . . . . . . . . . . . . . . . . . . . . . . . . . . 222 4.5.3 Spatial . . . . . . . . . . . . . . . . . . . . . . . . . 224 4.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . 225 4.7 Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 228 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229 viii LIST OF FIGURES Figure 1.1: Protests per Million Inhabitants . . . . . . . . . . . . . . . . . . . 18 Figure 1.2: Marginal Effects of Peripheral and Core Coordination . . . . . . 36 Figure 1.3: Verifying Operationalization of Coordination . . . . . . . . . . . 38 Figure 1.4: Change in Effect Size as Function of Core Threshold . . . . . . . 41 Figure 1.5: ICEWS Correlates with Handcoded Data . . . . . . . . . . . . . 48 Figure 1.6: Blackout Influentials and Protest . . . . . . . . . . . . . . . . . . 52 Figure 1.7: PDF → CDF → Gini . . . . . . . . . . . . . . . . . . . . . . . . 60 Figure 1.8: Least Coordination: Bahrain on 02.08.2011 . . . . . . . . . . . . 61 Figure 1.9: Most Coordination: Egypt on 02.02.2011 . . . . . . . . . . . . . . 62 Figure 1.10: Egypt on 01.24.2011 . . . . . . . . . . . . . . . . . . . . . . . . . 62 Figure 1.11: Core Coordination Variable . . . . . . . . . . . . . . . . . . . . . 63 Figure 1.12: Core Coordination Variable . . . . . . . . . . . . . . . . . . . . . 64 Figure 1.13: Daily Average Tweet Production by Popularity Threshold . . . . 65 Figure 1.14: Elite Follower Ratio by Popularity Threshold . . . . . . . . . . . 66 Figure 1.15: Coordination Peaks with 1-Day Lag . . . . . . . . . . . . . . . . 80 i,t Figure 1.16: More Protestors Correlate with More GDELT Protests . . . . . . 83 Figure 1.17: ICEWS Protest Recording, 4 Countries . . . . . . . . . . . . . . 87 Figure 1.18: Hashtag Intensity, Word Varies Based on Events . . . . . . . . . 92 Figure 1.19: Hashtag Use Varies by Coordination . . . . . . . . . . . . . . . . 93 Figure 2.1: Mobility in Egypt, Bahrain . . . . . . . . . . . . . . . . . . . . . 149 Figure 2.2: Egypt - Activists’ and Non-Activists’ Use of Common Hashtags . 150 Figure 2.3: April 6th - Activists’ and Non-Activists’ Use of Unique Hashtags . 151 Figure 2.4: NoMilTrials - Activists’ and Non-Activists’ Use of Unique Hashtags152 Figure 2.5: Anti-Sexual Harassment - Activists’ and Non-Activists’ Use of Unique Hashtags . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 Figure 2.6: Bahrain - Activists’ and Non-Activists’ Use of Common Hashtags 154 Figure 2.7: Bahrain - Activists’ and Non-Activists’ Use of Unique Hashtags . 155 Figure 2.8: Activists’ and Non-Activists’ Differential Twitter Activity . . . . 157 Figure 2.9: Egypt - Differential Hashtag Use . . . . . . . . . . . . . . . . . . 159 Figure 2.10: Bahrain - Differential Hashtag Use . . . . . . . . . . . . . . . . . 160 Figure 3.1: Pseudocode for Inferring Connection Date . . . . . . . . . . . . . 170 Figure 3.2: Degree Centrality = 5; NCC = 9 . . . . . . . . . . . . . . . . . . 173 Figure 3.3: Verification Against Ground Truth Data . . . . . . . . . . . . . . 187 Figure 3.5: Bahrain and Egypt Activists, 01.24.2011 . . . . . . . . . . . . . . 189 Figure 3.6: Bahrain and Egypt Activists, 04.04.2011 . . . . . . . . . . . . . . 190 Figure 3.7: Reconstructed Temporal Change in Influence . . . . . . . . . . . 194 ix

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GroupWednesday night prayer beseeching God bless your parents. 03.22.2011 @14febrevolution. Next day. @arabist: new tunisia govt tomorrow (i hear min finance If one knows neither R nor Python, learn both. 4.5 Types of Questions. Twitter data can be used to answer questions that involve three
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