Words that matter: A machine learning analysis of United Nations General Assembly speeches and their influence on aid allocation
This article studies whether countries’ speeches at the United Nations General Assembly (UNGA) matter for international aid allocation. I use a supervised machine learning algorithm called Wordscore and 7,533 different statements from 198 countries made in the period from 1975 to 2018 to measure cou...
| Published in: | Research & Politics |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-09-01
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| Online Access: | https://doi.org/10.1177/20531680241272626 |