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    • Nigeria Election Violence Tracker

Tag Archives: China

Demonstrations in East Asia in 2020 Over China’s Mongolian Language Policy

By Adam Miller14 January 2021
China’s new education policy in Inner Mongolia sparked rare mass demonstrations across the province. ACLED…
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Violence Against Civilians by State Forces in Mainland China: 2018-2020

By Josh Satre3 December 2020
More than 900 violence against civilians events perpetrated by state forces have been recorded across…
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Expanding ACLED’s East Asia Data: 2018-2020

By Sam Jones3 December 2020
…
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Research Hub: East Asia

By ACLED3 December 2020
…
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Regional Overview: East Asia
18-24 October 2020

By Laura Sorica28 October 2020
Last week in East Asia, security measures reportedly intensified across China before the Central Committee…
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Regional Overview: East Asia
27 September-3 October 2020

By Laura Sorica7 October 2020
Last week in East Asia, scattered protests were held across Hong Kong in support of…
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Regional Overview: East Asia
13-19 September 2020

By Laura Sorica23 September 2020
Last week, demonstration activity slightly increased across East Asia. China implemented tougher crackdown measures on…
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Regional Overview: East Asia
6-12 September 2020

By Laura Sorica17 September 2020
Last week in East Asia, a major riot broke out in Hong Kong after thousands…
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Regional Overview: East Asia
2 August-5 September 2020

By Laura Sorica10 September 2020
Last month in East Asia, protest and political violence activity decreased by approximately 20%, yet…
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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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