Dergiler / İşletme Bilimi Dergisi / 2026 / Cilt: 14 Sayı: 3

Nagorno-Karabakh Crisis: An Evaluation from the Perspective of Social Media Analytics

Sayfa
548–559
Yayın Tarihi
2026-09-25
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The findings indicate that while some users sought to emphasize Azerbaijan’s legitimacy, negative and hate-oriented discourse remained dominant, highlighting the dual role of social media in crisis communication.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Following Russia’s policies after 1828 and the migration of Armenian populations to the Karabakh region, the Azerbaijani population began to become a minority.
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Temel Bulgular & Veri:The first large-scale Karabakh conflict between Armenia and Azerbaijan began in 1905, with the most recent war taking place in 2020.
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Sonuç & Katkı:The findings indicate that while some users sought to emphasize Azerbaijan’s legitimacy, negative and hate-oriented discourse remained dominant, highlighting the dual role of social media in crisis communication.
🔬Tür:Araştırma Makalesi
📍Kapsam:2020 Verileri
⚙️Değişkenler:Nagorno-Karabakh · Karabakh Conflict · Armenia-Azerbaijan War

Abstract

Following Russia’s policies after 1828 and the migration of Armenian populations to the Karabakh region, the Azerbaijani population began to become a minority. The first large-scale Karabakh conflict between Armenia and Azerbaijan began in 1905, with the most recent war taking place in 2020. The technological revolution between these periods of war has brought the battlefield to social media platforms in the present day. This study aims to analyze a war by compiling a large number of user comments shared on social media during the conflict. In this context, a total of 616,297 data entries from Twitter (X) were collected between 27.09.2020 and 09.11.2020, each containing at least one of the keywords “Qarabağ” (Azerbaijani), “Karabakh” (English), or “Karabağ” (Turkish). This study employs text mining techniques to analyze the diversity and prominence of topics expressed by users on social media during the war. The findings indicate that while some users sought to emphasize Azerbaijan’s legitimacy, negative and hate-oriented discourse remained dominant, highlighting the dual role of social media in crisis communication.

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Bu Makaleye Atıf Yap

Arslan, B., Aydemir, E. (2026). Nagorno-Karabakh Crisis: An Evaluation from the Perspective of Social Media Analytics. İşletme Bilimi Dergisi, Cilt: 14 Sayı: 3, 548–559. https://doi.org/10.22139/jobs.1770619

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Kaynakça (33)

  1. Al Jazeera. (2020). Öncesi ve sonrasıyla Karabağ savaşı. https://www.aljazeera.com.tr/dosya/oncesi-ve-sonrasiyla-karabag-savasi
  2. Ali, A. (2020). The Nagorno-Karabakh conflict: The beginning of the Soviet end. Lexington Books. https://doi.org/10.5040/9781978724228.ch-003
  3. Anadolu Ajansı. (2020, October 26). BM, Azerbaijan, Armenia agree on cease-fire starting Monday. https://www.aa.com.tr/en/azerbaijan-front-line/azerbaijan-armenia-agree-on-cease-fire-starting-monday/2018915
  4. Anadolu Ajansı. (2020, October 6). BM, Azerbaycan ve Ermenistan’a Dağlık Karabağ’da çatışmalara derhal son verme çağrısını yineledi. https://www.aa.com.tr/tr/azerbaycan-cephe-hatti/bm-azerbaycan-ve-ermenistana-daglik-karabagda-catismalara-derhal-son-verme-cagrisini-yineledi/1996799
  5. Aras, O. N. (2013). Ekonomik ve siyasi sonuçları bakımından Hocalı katliamı ve Karabağ sorunu. Fırat Üniversitesi Orta Doğu Araştırmaları Dergisi, 9(2), 113–122. https://izlik.org/JA45YG73RS
  6. Aslan, İ., & Topçu, Y. (2021). A case study to reveal if an area of interest has a trend in ongoing tweets using word and sentence embeddings. arXiv. https://arxiv.org/abs/2110.00866
  7. BBC. (2020, October 26). Nagorno-Karabakh: The Armenian-Azeri ‘information wars’. https://www.bbc.com/news/world-europe-54614392
  8. Churchill, R., & Singh, L. (2022). The evolution of topic modeling. ACM Computing Surveys, 54(10s), 1–35. https://doi.org/10.1145/3507900
  9. Dardari, A., Levsen, N., Setian, A., & Peake, J. (2024). Social media, content moderation and international human rights law: The example of the Nagorno-Karabakh/Artsakh conflict (Report No. 11). The Promise Institute for Human Rights, UCLA School of Law. https://promiseinstitute.law.ucla.edu/project/accountability-for-artsakh/
  10. Erarslan, F., & Özdemir, F. N. (2021). Azerbaycan-Türkiye ilişkilerinde önemli bir kavşak: İkinci Karabağ savaşı. Türk Dünyası Araştırmaları, 129(255), 315–334. https://izlik.org/JA49EG83GC
  11. Euronews. (2020, October 5). ABD, Rusya ve Fransa’dan Dağlık Karabağ için ortak ateşkes çağrısı. https://tr.euronews.com/2020/10/05/abd-rusya-ve-fransa-dan-dagl-k-karabag-icin-ortak-ateskes-cagr-s
  12. France 24. (2020, October 17). Armenia, Azerbaijan agree to new ceasefire in Nagorno-Karabakh conflict. https://www.france24.com/en/asia-pacific/20201017-armenia-azerbaijan-agree-to-new-ceasefire-in-nagorno-karabakh-conflict
  13. García, S., Luengo, J., & Herrera, F. (2015). Data preprocessing in data mining. Springer. https://doi.org/10.1007/978-3-319-10247-4
  14. Güner, S., Taşkın, K., Cebeci, H. İ., & Aydemir, E. (2024). Service quality in rail systems: Listen to the voice of social media. Transportation Research Record, 2678(6), 824–847. https://doi.org/10.1177/03611981231200225
  15. Haddi, E., Liu, X., & Shi, Y. (2013). The role of text pre-processing in sentiment analysis. Procedia Computer Science, 17, 26–32. https://doi.org/10.1016/j.procs.2013.05.005
  16. Hakimov, S., & Cheema, G. S. (2024, May). Unveiling global narratives: A multilingual Twitter dataset of news media on the Russo-Ukrainian conflict. In Proceedings of the 2024 International Conference on Multimedia Retrieval (pp. 1160–1164). https://doi.org/10.1145/3652583.3657622
  17. Hasanoğlu, M., Memmedov, A., & Maharramov, B. (2020). İkinci Karabağ savaşı sonrası Azerbaycan-Türkiye ilişkileri. Uluslararası Yönetim Akademisi Dergisi, 3(3), 522–529. https://doi.org/10.33712/mana.840199
  18. İnsani ve Sosyal Araştırmalar Merkezi. (2020, July 20). Azerbaycan-Ermenistan çatışması ve Türkiye’ye yansımaları. https://www.insamer.com/tr/azerbaycan-ermenistan-catismasi-ve-turkiyeye-yansimalari_3110.html
  19. Johnston, B. (2021). Social media: The new intelligence collection platforms. United Service, 72(4), 15–16.
  20. Khan, M. A. (2021). The conflict of Azerbaijan and Armenia with special reference to Nagorno-Karabakh: An overview. Journal of Malay Islamic Studies, 4(1), 27–34. https://jurnal.radenfatah.ac.id/index.php/jmis/article/view/7878/3950
  21. Kherwa, P., & Bansal, P. (2019). Topic modeling: A comprehensive review. EAI Endorsed Transactions on Scalable Information Systems, 7(24), 1–16. https://doi.org/10.4108/eai.13-7-2018.159623
  22. Kuduban, D. A., & Kaya, M. (2018). Karabağ sorununa uluslararası güçlerin yaklaşımları üzerine tarihsel bir değerlendirme. 21. Yüzyılda Eğitim ve Toplum, 7(21), 923–949. https://izlik.org/JA77PD58MS
  23. Kumar, S., Kar, A. K., & Ilavarasan, P. V. (2021). Applications of text mining in services management: A systematic literature review. International Journal of Information Management Data Insights, 1(1), Article 100008. https://doi.org/10.1016/j.jjimei.2021.100008
  24. Lee, E., Rustam, F., Ashraf, I., Washington, P. B., Narra, M., & Shafique, R. (2022). Inquest of current situation in Afghanistan under Taliban rule using sentiment analysis and volume analysis. IEEE Access, 10, 10333–10348. https://doi.org/10.1109/ACCESS.2022.3144659
  25. Menaouer, B., Fairouz, S., Meriem, M. B., Mohammed, S., & Nada, M. (2025). A sentiment analysis of the Ukraine-Russia war tweets using knowledge graph convolutional networks. International Journal of Information Technology. https://doi.org/10.1007/s41870-024-02357-0
  26. Öztürk, N., & Ayvaz, S. (2018). Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis. Telematics and Informatics, 35(1), 136–147. https://doi.org/10.1016/j.tele.2017.10.006
  27. Panorama. (2020, November 5). 2020 Dağlık Karabağ savaşına dair askeri-stratejik gözlemler. https://www.globalpanorama.org/2020/11/2020-daglik-karabag-savasina-dair-askeri-stratejik-gozlemler/
  28. Rostomyan, M. (2023). From Mountains to Social Media Valleys: A thematic Analysis of Information Warfare through Telegram Data in the Nagorno-Karabakh war. The Journal of Intelligence, Conflict, and Warfare, 6(2), 1-25. https://doi.org/10.21810/jicw.v6i2.6178
  29. Sapmaz, A., & Sarı, G. (2012). Dağlık Karabağ sorununda Azerbaycan tarafından kuvvet kullanım olasılığının analizi. Güvenlik Stratejileri Dergisi, 8(15), 1-32. https://izlik.org/JA47TT46LX
  30. Sasikumar, U., Zaman, A. N. K., Mawlood-Yunis, A. R., & Chatterjee, P. (2023, December). Sentiment analysis of Twitter posts on global conflicts. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 759–764). IEEE.
  31. Shamilov, G., & Kara, C. Ö. D. (2021). Birinci Dağlık Karabağ savaşı göçmenlerinin sosyo-ekonomik sorunları: Bakü Binegedi ilçesi örneği. Yönetim Bilimleri Dergisi, 19(Özel Sayı), 107-136 https://doi.org/10.35408/comuybd.973396
  32. Söğüt, F. (2021). Dağlık Karabağ çatışması ve nefret söylemi: YouTube kullanıcı yorumları üzerine bir inceleme. İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi (İNİF E-Dergi), 6(2), 306-324. https://doi.org/10.47107/inifedergi.977259
  33. The Guardian. (2020, October 10). Nagorno-Karabakh: Armenia and Azerbaijan agree to ceasefire. https://www.theguardian.com/world/2020/oct/10/nagorno-karabakh-armenia-and-azerbaijan-agree-to-ceasefire