Towards quantifying politicization in foreign aid project reports

Open Access
Authors
  • S. Wang
  • G. Eggers
  • A. de Roode Torres Georgiadis
  • T.A. Đo
Publication date 2024
Host editors
  • H. Afli
  • H. Bouamor
  • C. Blasi Casagran
  • S. Ghannay
Book title The Second Workshop on Natural Language Processing for Political Sciences (PoliticalNLP 2024)
Book subtitle proceedings : LREC-COLING 2024 : 21 May, 2024, Torino, Italy
ISBN (electronic)
  • 9782493814265
Series COLING
Event 2nd Workshop on Natural Language Processing for Political Sciences
Pages (from-to) 85–90
Publisher ELRA Language Resources Association
Organisations
  • Faculty of Humanities (FGw)
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam Institute for Social Science Research (AISSR)
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract We aim to develop a metric of politicization by investigating whether this concept can be operationalized computationally using document embeddings. We are interested in measuring the extent to which foreign aid is politicized. Textual reports of foreign aid projects are often made available by donor governments, but these are large and unstructured. By embedding them in vector space, we can compute similarities between sets of known politicized keywords and the foreign aid reports. We present a pilot study where we apply this metric to USAID reports.
Document type Conference contribution
Language English
Published at https://aclanthology.org/2024.politicalnlp-1.9
Downloads
2024.politicalnlp-1.9 (Final published version)
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