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Palestine/Israel UN Resolutions Corpus (PIURC): design and pilot study of discourse patterns

Annabelle Lukin, Izabella Rosa Malta*, Rodrigo Araújo Castro, Tamer Morris, Alexandra García Marrugo, Emily Crawford

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

This paper introduces the Palestine/Israel United Nations Resolution Corpus (PIURC), a data set comprising UN General Assembly and Security Council resolutions related to the Palestine/Israel conflict. The corpus provides a valuable resource for analysing the role of the UN in shaping the discourse around this conflict. The paper details the data selection process, limitations, and potential extensions of the corpus. It demonstrates how standard
corpus linguistic and text analysis methods, including the analysis of word frequency and text dispersion, can reveal key patterns such as lexical frequencies and thematic variations, offering insights into the evolving discourse on human
rights and geopolitical issues. The PIURC enables future interdisciplinary research, contributing to a deeper understanding of the United Nations' role in the Palestine/Israel conflict and its broader implications. Potential extensions to the corpus include incorporating resolutions from Special and Emergency Sessions of the General Assembly, as well as texts in languages other than English. These additions would enhance the data set's comprehensiveness, further supporting nuanced analyses of the UN's discourse and decision-making processes in this and other geopolitical contexts.
Original languageEnglish
Article numbere025002
Pages (from-to)1-11
Number of pages11
JournalJournal of Speech Sciences
Volume14
DOIs
Publication statusPublished - 13 Oct 2025

Bibliographical note

Copyright the Author(s) 2025. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Palestine-Israel conflict
  • international law
  • corpus linguistics
  • word frequency
  • discourse patterns

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