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Tag Archives: China

Regional Overview: East Asia
26 July-1 August 2020

By Laura Sorica5 August 2020
Last week in East Asia, protest activity slightly decreased. In Hong Kong, the authorities cracked…
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Regional Overview: East Asia
19-25 July 2020

By Laura Sorica30 July 2020
Last week in East Asia, the number of events increased slightly compared to the week…
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Regional Overview: East Asia
12-18 July 2020

By Laura Sorica23 July 2020
Last week in East Asia, key developments include: a continued downward trend for pro-democracy demonstrations…
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Regional Overview: East Asia
5-11 July 2020

By Laura Sorica16 July 2020
In East Asia, key developments last week include: a decrease in protest and political violence…
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CDT Spotlight: Demonstrations in East Asia

By Adam Miller9 July 2020
Demonstrations have continued across East Asia despite the COVID-19 pandemic. ACLED Research Analyst Adam Miller…
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Regional Overview: East Asia
28 June-4 July 2020

By Laura Sorica8 July 2020
Last week in East Asia, the passing of the Hong Kong security law was the…
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CDT Spotlight: Hong Kong

By Adam Miller2 July 2020
While demonstration activity has resumed in Hong Kong amid loosening coronavirus-related restrictions, China’s new security…
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Regional Overview: East Asia
21-27 June 2020

By Laura Sorica2 July 2020
Last week in East Asia, protests continued to be active throughout the region around the…
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Disorder in East Asia: New Data for 2019-2020

By Laura Sorica30 June 2020
…
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ACLED Expands Coverage to East Asia

By Sam Jones30 June 2020
…
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The Armed Conflict Location & Event Data Project (ACLED) is a disaggregated data collection, analysis, and crisis mapping project.

ACLED is the highest quality and most widely used real-time data and analysis source on political violence and protest around the world. Practitioners, researchers, journalists, and governments depend on ACLED for the latest reliable information on current conflict and disorder patterns.

ACLED is a registered non-profit organization with 501(c)(3) status in the United States.

Please contact [email protected] with comments or queries regarding the ACLED dataset.







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