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A multi-viewpoint spectrum paradigm for inter-actor relationship analysis in non-social textual corpora: The case of the UN General Debate Corpus

Efrat Miller

Efrat Miller

Department of Information Science, Bar-Ilan UniversityRamat Gan, Israel
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Miller, Efrat
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Maayan Zhitomirsky-Geffet

Maayan Zhitomirsky-Geffet

Department of Information Science, Bar-Ilan UniversityRamat Gan, Israel
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Zhitomirsky-Geffet, Maayan
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Mor Mitrani

Mor Mitrani

Department of Political Studies, Bar-Ilan UniversityRamat Gan, Israel
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Mitrani, Mor
  
Jun 11, 2025
A multi-viewpoint spectrum paradigm for inter-actor relationship analysis in non-social textual corpora: The case of the UN General Debate Corpus's Cover Image
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Article Category: Research Papers
Published Online: Jun 11, 2025
Page range: 32 - 51
Received: Dec 29, 2024
Accepted: Apr 07, 2025
DOI: https://doi.org/10.2478/jdis-2025-0026
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© 2025 Efrat Miller et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Pipeline of multi-viewpoint spectrum construction for a given topic and corpus.
Pipeline of multi-viewpoint spectrum construction for a given topic and corpus.

Figure 2.

Yearly relative distribution of the overall discourse positions for the four subtopics in the local and regional peaceconflict themes.
Yearly relative distribution of the overall discourse positions for the four subtopics in the local and regional peaceconflict themes.

Figure 3.

Distribution of states’ positions along the viewpoint spectra for the local (IP) perspective (top) and the regional (ME) perspective (bottom) of the peace-conflict axis in the three periods.
Distribution of states’ positions along the viewpoint spectra for the local (IP) perspective (top) and the regional (ME) perspective (bottom) of the peace-conflict axis in the three periods.

Figure 4.

Heat maps visualizing periodic proximity matrices based on cosine similarity between viewpoint vectors covering all four themes. Warmer colors represent less distance and closer proximity, whereas cooler colors represent greater distance. Top15 states are to the bottom right, and the P5 and G7 states are to the top left.
Heat maps visualizing periodic proximity matrices based on cosine similarity between viewpoint vectors covering all four themes. Warmer colors represent less distance and closer proximity, whereas cooler colors represent greater distance. Top15 states are to the bottom right, and the P5 and G7 states are to the top left.

Viewpoint vector configurations and thematic features_

Viewpoint Vector Configuration Vector Features (Themes)
Peace-conflict axis, local perspective Israel-Palestine Peace (IPP) Israel-Palestine Conflict (IPC)
Peace-conflict axis, regional perspective Middle East Peace (MEP) Middle East Conflict (MEC)
All peace-conflict axis (rejected) IPP + MEP IPC + MEC
All local-regional axis (rejected) IPP + IPC MEP + MEC
All four themes IPP MEP IPC MEC
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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