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Silencing Their Critics: How Government Restrictions Against Civil Society Affect International ‘Naming and Shaming’

Published online by Cambridge University Press:  28 February 2020

Hannah Smidt*
Affiliation:
University of Zurich and German Institute of Global and Area Studies
Dominic Perera
Affiliation:
University College London and CIVICUS
Neil J. Mitchell
Affiliation:
University College London
Kristin M. Bakke
Affiliation:
University College London University College London, PRIO Peace Research Institute Oslo
*
*Corresponding author. E-mail: smidt@ipz.uzh.ch
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Abstract

International ‘naming and shaming’ campaigns rely on domestic civil society organizations (CSOs) for information on local human rights conditions. To stop this flow of information, some governments restrict CSOs, for example by limiting their access to funding. Do such restrictions reduce international naming and shaming campaigns that rely on information from domestic CSOs? This article argues that on the one hand, restrictions may reduce CSOs’ ability and motives to monitor local abuses. On the other hand, these organizations may mobilize against restrictions and find new ways of delivering information on human rights violations to international publics. Using a cross-national dataset and in-depth evidence from Egypt, the study finds that low numbers of restrictions trigger shaming by international non-governmental organizations. Yet once governments impose multiple types of restrictions, it becomes harder for CSOs to adapt, resulting in fewer international shaming campaigns.

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Type
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 in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press
Figure 0

Figure 1. Average number of restriction types over time

Figure 1

Figure 2. Joint distribution of UAs and restrictions types

Figure 2

Figure 3. Predicted number of UAs, conditional on number of restriction types

Figure 3

Table 1. Regression of UAs on restrictions on CSOs

Figure 4

Table 2. Predicted differences for different scenarios and models

Figure 5

Figure 4. Predicted number of CSOs, conditional on number of restriction types

Figure 6

Figure 5. Predicted number of protest events, conditional on number of restriction types

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