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What drives the international development agenda? An NLP analysis of the United Nations General Debate 1970-2016
Baturo, Alexander; Dasandi, Niheer
Surprisingly little is known about agenda setting for international development in the United Nations (UN), despite it having a significant influence on the process and outcomes of development efforts. This paper addresses this shortcoming using a novel approach that applies natural language processing techniques to countries’ annual statements in the UN General Debate. Every year UN member states deliver statements during the General Debate on their governments’ perspective on major issues in world politics. These speeches provide invaluable information on state preferences on a wide range of issues, including international development, but have largely been overlooked in the study of global politics. This paper identifies the main international development topics that states raise in these speeches between 1970 and 2016, and examine the country-specific drivers of international development rhetoric.
Keyword(s): International relations; Political science; Government; Coherence; Semantics; Economics; Security; Speech; Biological system modeling
Publication Date:
2018
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Baturo, Alexander ORCID: 0000-0002-1108-5287 <https://orcid.org/0000-0002-1108-5287> and Dasandi, Niheer ORCID: 0000-0002-8708-837X <https://orcid.org/0000-0002-8708-837X> (2018) What drives the international development agenda? An NLP analysis of the United Nations General Debate 1970-2016. In: International Conference on the Frontiers and Advances in Data Science (FADS), 23-25 Oct. 2017, Xi'an, China.
Publisher(s): IEEE
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/25595/1/baturodasandi_2017_FADS.pdf,
https://dx.doi.org/10.1109/FADS.2017.8253221
First Indexed: 2021-03-09 06:45:33 Last Updated: 2021-03-09 06:45:33