Discourse Analysis of International Scientific Organizations in the 2022 Russia–Ukraine Conflict: A Natural Language Processing Approach

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Veröffentlicht in:Information vol. 16, no. 2 (2025), p. 89
1. Verfasser: Lu, Jiayue
Weitere Verfasser: Chen, Xiaoli, Wang, Xuezhao
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MDPI AG
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100 1 |a Lu, Jiayue  |u National Science Library, Chinese Academy of Sciences, Beijing 100190, China; <email>lujiayue@mail.las.ac.cn</email> (J.L.); <email>chenxl@mail.las.ac.cn</email> (X.C.); Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China 
245 1 |a Discourse Analysis of International Scientific Organizations in the 2022 Russia–Ukraine Conflict: A Natural Language Processing Approach 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
610 4 |a National Academy of Sciences 
651 4 |a Russia 
651 4 |a United States--US 
651 4 |a Afghanistan 
651 4 |a Ukraine 
653 |a Public opinion 
653 |a Science 
653 |a Sentiment analysis 
653 |a Cooperation 
653 |a Data mining 
653 |a Organizations 
653 |a Diplomacy 
653 |a Attitudes 
653 |a International relations 
653 |a Social networks 
653 |a Discourse analysis 
653 |a Collaboration 
653 |a Natural language processing 
653 |a Organizational behavior 
653 |a Emotions 
653 |a Semantics 
700 1 |a Chen, Xiaoli  |u National Science Library, Chinese Academy of Sciences, Beijing 100190, China; <email>lujiayue@mail.las.ac.cn</email> (J.L.); <email>chenxl@mail.las.ac.cn</email> (X.C.) 
700 1 |a Wang, Xuezhao  |u National Science Library, Chinese Academy of Sciences, Beijing 100190, China; <email>lujiayue@mail.las.ac.cn</email> (J.L.); <email>chenxl@mail.las.ac.cn</email> (X.C.); Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China 
773 0 |t Information  |g vol. 16, no. 2 (2025), p. 89 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3170982101/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
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