Content area

Abstract

The scientific community has not stayed outside the Russia–Ukraine conflict. This study analyzes the attitudes and roles of international scientific organizations in the conflict, based on 923 official statements, through a combination of discourse analysis and Natural Language Processing (NLP) techniques, including sentiment analysis and topic modeling. The findings reveal that 527 organizations issued statements, with 47% explicitly “supporting Ukraine and condemning Russia”, and 13% maintaining a neutral stance. These statements reflect diverse concerns, including the conflict’s immediate humanitarian impact, disruption to scientific collaboration, and broader political and social implications. This research contributes to understanding how international scientific organizations navigate conflict contexts by systematically uncovering their attitudes, focus areas, and actions. Through a thematic analysis, the study demonstrates how these organizations articulate their positions, advocate for specific measures, and leverage their influence to address issues such as economic support, scientific collaboration, and healthcare assistance. By identifying these behaviors, the study clarifies the strategic roles scientific organizations play in shaping discourse and mediating international relations, offering key insights into their impact during geopolitical crises.

Details

1009240
Business indexing term
Company / organization
Title
Discourse Analysis of International Scientific Organizations in the 2022 Russia–Ukraine Conflict: A Natural Language Processing Approach
Author
Lu, Jiayue 1   VIAFID ORCID Logo  ; Chen, Xiaoli 2   VIAFID ORCID Logo  ; Wang, Xuezhao 1   VIAFID ORCID Logo 

 National Science Library, Chinese Academy of Sciences, Beijing 100190, China; [email protected] (J.L.); [email protected] (X.C.); Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China 
 National Science Library, Chinese Academy of Sciences, Beijing 100190, China; [email protected] (J.L.); [email protected] (X.C.) 
Publication title
Volume
16
Issue
2
First page
89
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
e-ISSN
20782489
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-01-24
Milestone dates
2024-11-11 (Received); 2025-01-21 (Accepted)
Publication history
 
 
   First posting date
24 Jan 2025
ProQuest document ID
3170982101
Document URL
https://www.proquest.com/scholarly-journals/discourse-analysis-international-scientific/docview/3170982101/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-25
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic