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Liberation Technology: China's "Networked Authoritarianism"

Authors: Rebecca MacKinnon;

Liberation Technology: China's "Networked Authoritarianism"

Abstract

Abstract: While social networking platforms can be powerful tools in the hands of activists seeking to bring down authoritarian governments, it is unwise to assume that access to the Internet and social networking platforms alone is sufficient for democratization of repressive regimes. The case of China demonstrates how authoritarian regimes can adapt to the Internet, even using networked technologies to bolster legitimacy. The emergence of Chinese "networked authoritarianism" highlights difficult issues of policy and corporate responsibility that must be resolved in order to ensure that the Internet and mobile technologies can fulfill their potential to support liberation and empowerment.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    302
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
302
Top 1%
Top 1%
Top 10%
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