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How Exile Shapes Online Opposition: Evidence from Venezuela

Published online by Cambridge University Press:  19 December 2022

JANE ESBERG*
Affiliation:
University of Pennsylvania, United States
ALEXANDRA A. SIEGEL*
Affiliation:
University of Colorado Boulder, United States
*
Jane Esberg, Assistant Professor, Department of Political Science, University of Pennsylvania, United States, jesberg@sas.upenn.edu.
Alexandra A. Siegel, Assistant Professor, Department of Political Science, University of Colorado Boulder, United States, alexandra.siegel@colorado.edu.
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Abstract

How does exile affect online dissent? By internationalizing activists’ networks and removing them from day-to-day life under the regime, we argue that exile fundamentally alters activists’ political opportunities and strategic behavior. We test the effect of exile on activists’ public discourse in the case of Venezuela, through an analysis of over 5 million tweets by 357 activists spanning seven years. Our results suggest that after going into exile activists increasingly emphasize foreign-led interventions to shape their home country politics, focus less on local grievances, and become more harshly critical of the regime. This is partly due to the changes in exiles’ networks: after leaving, activists increase their interactions with foreign actors and tweet more in English. This work contributes to our understanding of the relationship between exile—one of the most ubiquitous yet understudied forms of repression—and dissent in the digital age.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Exile and Discussions of Foreign ActionNote: Left panel: Coefficient plots for models using two-way fixed effects, two-way fixed effects plus a unit-specific time trend, and month fixed effects only. Right panel: Event study plots estimating leads and lags for exile, using the month immediately prior as the comparison period. Standard errors and 95% confidence intervals are robust and clustered at the individual level. Results demonstrate that exile is associated with a significant increase in discussions of foreign policy solutions for Venezuela’s crisis. Tabular results are displayed in Tables A1 and A7 in the Appendix.

Figure 1

Figure 2. Exile and Service CriticismsNote: Left panels: Coefficient plot for models using two-way fixed effects, two-way fixed effects plus a unit-specific time trend, and month fixed effects only. Right panel: Event study plots estimating leads and lags for exile, using the month immediately prior as the comparison period. Standard errors and 95% confidence intervals are robust and clustered at the individual level. Results demonstrate that more domestically focused critiques of service provision fall after exile. Tabular results are displayed in Tables A2 and A7 in the Appendix.

Figure 2

Figure 3. Exile and ProtestNote: Left panel: Coefficient plots for models using two-way fixed effects, two-way fixed effects plus a unit-specific time trend, and month fixed effects only. Right panel: Event study plots estimating leads and lags for exile, using the month immediately prior as the comparison period. Standard errors and 95% confidence intervals are robust and clustered at the individual level. Though results are noisy, they demonstrate a drop in discussions of mobilization after exile. Tabular results are displayed in Tables A3 and A7 in the Appendix.

Figure 3

Figure 4. Exile and CriticismNote: Left panel: Coefficient plots for models using two-way fixed effects, two-way fixed effects plus a unit-specific time trend, and month fixed effects only. Right panel: Event study plots estimating leads and lags for exile, using the month immediately prior as the comparison period. Standard errors and 95% confidence intervals are robust and clustered at the individual level. Results suggest an increase in stringent criticism after exile. Tabular results are displayed in Tables A4 and A7 in the Appendix.

Figure 4

Figure 5. Exile and Foreign ActorsNote: Left panel: Coefficient plot for models using two-way fixed effects, two-way fixed effects plus a unit-specific time trend, and month fixed effects only. Standard errors and confidence intervals are robust and clustered at the individual level. Foreign engagement uses only tweets “@”ing a user self-reported to live in Venezuela or overseas. Right panel: Event study plot estimating leads and lags for exile, using the month immediately prior as the comparison period. Results demonstrate that references to and engagement with foreign actors increases following exile. Tabular results are displayed in Tables A5 and A7 in the Appendix.

Figure 5

Figure 6. Exile and DestinationNote: Coefficient plot regressing mentions of common host destinations (the US and Colombia) on whether the user was in exile in that country in a given month. Coefficients show the effect of exile on mentions of the host country, relative to those in exile in other states. Models use two-way fixed effects with robust standard errors clustered at the individual level. Though all exiles are more likely to mention foreign nations, this effect is particularly pronounced for an activist’s host country. Tabular results are displayed in Tables A6 and A7 in the Appendix.

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