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Mapping Education Insecurity, May 2019 to Feb 2021

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  • This dataset updates: Never
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Source AIDR and ACLED
Contributor Education and Conflict Monitor
Date of Dataset May 01, 2019-February 28, 2021
Updated 13 March 2021
Expected Update Frequency Never
Location
Visibility
Public
License Creative Commons Attribution International
Methodology

AIDR—the Grand Prize winner of the 2015 Open Source Software System Challenge—is a free and open platform to filter and classify social media messages related to emergencies, disasters, and humanitarian crises. AIDR uses human and machine intelligence to automatically tag up to thousands of messages per minute. AIDR has partnered with the Centre for Humanitarian Data in order to produce this dataset monitoring conversations of Education Insecurity.

For ACLED's methodology, see https://acleddata.com/acleddatanew/wp-content/uploads/dlm_uploads/2019/04/Methodology-Overview_FINAL.pdf
Caveats / Comments

The AIDR dataset counts relevant tweets using machine learning, and tends to approximately 80% accuracy (true positives) in recognising the topic of education insecurity, so numbers are appropriate only for broad analysis.

Due to a technical problem, AIDR did not collect education-insecurity tweets in French or Arabic during April 2020.
Tags
community perceptions and feedback
education
hxl
security incidents
social media data
File Format