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SOSYOLOJİDE YAPAY ZEKA KAVRAMI ÜZERİNE VOSVİEWER İLE BİBLİYOMETRİK BİR ANALİZ

Year 2025, Volume: 5 Issue: 1, 56 - 75, 30.06.2025

Abstract

21. yüzyılın gerçeklerinin başında yapay zeka teknolojisi gelmektedir. Hemen her alanda kullanım imkanı bulan yapay zeka, insan hayatının büyük bir bölümünde etkin olmaktadır. Büyük sermayelerin harcandığı ve ülkeler arası rekabetin temel unsurlarından biri haline gelen yapay zeka üzerine birçok alanda akademik çalışmalar yapılmaya başlanmıştır. Mühendislik ve fen bilimlerinin ilgi alanında çok defa ilgi gören yapay zekanın, son yıllarda sosyolojinin de inceleme nesnesi haline geldiği görülmektedir. Bu bağlamda mevcut çalışmada, sosyoloji çatısı altında Web of Science veri tabanı üzerinde yer alan yapay zeka üzerine gerçekleştirilmiş çalışmaların VOSviewer yazılımı kullanılarak bibliyometrik bir analizini sunmak amaçlanmaktadır. Çalışma kapsamında yapa zeka ile ilgili makaleler, yıllara, ülkelere, yapılan çalışmaların atıf sayılarına ve sık kullanılan anahtar sözcüklerine göre analizi gerçekleştirilmiştir. Araştırma sonunda elde edilen bulgular, yapay zeka ile ilgili sosyoloji alanındaki çalışmaların özellikle son beş yılda yoğunlaştığını ve 2024 yılında en fazla makale sayısına ulaşıldığını; bölge olarak Amerika Birleşik Devletleri bünyesinde en fazla çalışmanın gerçekleştirildiğini göstermektedir.

References

  • Acar, O. (2020). Yapay zekâ: Fırsat mı yoksa tehdit mi? Kriter Yayınevi.
  • Akbaş, A. (2024). Yapay zekâ ile toplumsal dönüşüm: Sosyolojik perspektif. International Journal of Humanities and Education, 10(22), 151–180. https://doi.org/10.59304/ijhe.1477203
  • Akçakaya, M. S. (2024). SSCI indeksli sosyoloji dergilerinde güncel tartışmalar. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 4(1), 159–173. https://doi.org/10.32600/huefd.1285568
  • Akkaya, F. D. (2024). Deepfake dilemmas: Imagine tomorrow’s surveillance society through three scenarios. Journal of Economy, Culture and Society, 70, 121–134. http://10.26650/JECS2024-1462119
  • Altınay, Z., Altınay, F., Sharma, R. C., vd. (2024). Capacity building for student teachers in learning, teaching artificial intelligence for quality of education. Societies, 14(8). https://doi.org/10.3390/soc14080203
  • Aydın, N. (2024). Türkiye’de yapay zekâ alanında yapılan çalışmaların bibliyometrik analizi. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 27(52), 387–407. https://doi.org/10.31795/baunsobed.1545006
  • Barrett, H. & Rose, D. C. (2022). Perceptions of the fourth agricultural revolution: What’s in, what’s out, and what consequences are anticipated? Sociologia Ruralis, 62(2), 162–189. https://doi.org/10.1111/soru.12324
  • Boyacı, N. K. (2023). Tekniğe Dair Yaklaşımların Savaş ve Askerlik Mesleği Bağlamında Değerlendirilmesi. Istanbul University Journal of Sociology, 43(2), 275–294. https://doi.org/10.26650/SJ.2023.43.2.0046
  • Boyd, R. & Holton, R. J. (2018). Technology, innovation, employment and power: Does robotics and artificial intelligence really mean social transformation? Journal of Sociology, 54(3), 331–345. https://doi.org/10.1177/14407833177265
  • Burrell, J. & Fourcade, B. (2021). The society of algorithms. Annual Review of Sociology, 47, 213–237. https://doi.org/10.1146/annurev-soc-090820-020800
  • Collins, R. (1994). Why the social-sciences won’t become high-consensus, rapid-discovery science. Sociological Forum, 9(2), 155–177.
  • Demirel, S., Çakıcı, Z. & Bulur, N. (2024). Social perception of artificial intelligence on Twitter: A comparative study on Global South and Global North countries. Sociologicheskoe Obozrenie, 23(4), 48–79. http://10.17323/1728-192x-2024-4-48-79
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Duran, V. & Aydın, E. (2024). Eğitimde yapay zekânın kapsamlı incelenmesi: Web of Science veri tabanı üzerinden bir AI destekli bibliyometrik analiz. JSHSR, 11(104), 468–484. https://doi.org/10.5281/zenodo.10737254
  • Ekinci, G. & Bilginer-Özsaatçi, F. G. (2023). Yapay zekâ ve pazarlama alanındaki yayınların bibliyometrik analizi. Sosyoekonomi, 31(56), 369–388. https://doi.org/10.17233/sosyoekonomi.2023.02.17
  • Esposito, E. (2017). Artificial communication? The production of contingency by algorithms. Zeitschrift für Soziologie, 46(4), 249–265. https://doi.org/10.1515/zfsoz-2017-1012
  • Gülver, Ö. (2024). Suç korkusu üzerine yapılan çalışmaların bibliyometrik analizi. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 41(2), 642-658. https://doi.org/10.32600/huefd.1455606
  • Joyce, K., Smith-Doerr, L., Alegria, S., Bell, S., Cruz, T., Hoffman, S. G., ... & Shestakofsky, B. (2021). Toward a sociology of artificial intelligence: A call for research on inequalities and structural change. Socius, 7, 2378023121999581. https://doi.org/10.1177/2378023121999581
  • Kaplan, A. & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
  • Khan, M. W., Destek, M. A. & Khan, Z. (2025). Income inequality and artificial intelligence: Globalization and age dependency for developed countries. Social Indicators Research, 176(3), 1207–1233.
  • Kutlusoy, Z. (2019). Felsefe açısından yapay zekâ. G. Telli (Ed.), Yapay zekâ ve gelecek (ss. 25–43). Doğu Kitapevi.
  • Lv, X., Liu, Y., Luo, J., Liu, Y., & Li, C. (2021). Does a cute artificial intelligence assistant soften the blow? The impact of cuteness on customer tolerance of assistant service failure. Annals of Tourism Research, 87. https://doi.org/10.1016/j.annals.2020.103107
  • McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174–1182. https://doi.org/10.1016/j.artint.2007.10.009
  • Morgan, J. (2019). Will we work in twenty-first century capitalism? A critique of the fourth industrial revolution literature. Economy and Society, 48(3), 371–398. https://doi.org/10.1080/03085147.2019.1620027
  • Okubo, Y. (1997). Bibliometric indicators and analysis of research systems: Methods and examples. OECD Science, Technology and Industry Working Papers, 1, 3–68. https://dx.doi.org/10.1787/208277770603. Retrieved May 11, 2025, from https://www.oecd.org/content/dam/oecd/en/publications/reports/1997/01/bibliometric-indicators-and-analysis-of-research-systems_g17a152e/208277770603.pdf
  • Özer, M., Perc, M. & Suna, H. E. (2024a). Artificial intelligence bias and the amplification of inequalities in the labor market. Journal of Economy, Culture and Society, 69, 159–168. https://doi.org/10.26650/JECS2023-1415085
  • Özer, M., Perc, M. & Suna, H. E. (2024b). Participatory management can help artificial intelligence ethics adhere to social consensus. Istanbul University Journal of Sociology, 44(1), 221–238. https://doi.org/10.26650/SJ.2024.44.1.0001
  • Öztürk, K. & Şahin, M. E. (2018). Yapay sinir ağları ve yapay zekâya genel bir bakış. Takvim-i Vekayi, 6(2), 25–36.
  • Park, S. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81. https://doi.org/10.1016/j.annals.2020.102888
  • Park, S. & Humphry, J. (2019). Exclusion by design: Intersections of social, digital and data exclusion. Information, Communication and Society, 22(7), 934–953. https://doi.org/10.1080/1369118X.2019.1606266
  • Pritchard, A. & Wittig, G. R. (1981). Bibliometrics. AllM Books.
  • Rezaev, A. V. & Tregubova, N. D. (2018). Are sociologists ready for ‘artificial sociality’? Current issues and future prospects for studying artificial intelligence in the social sciences. Monitoring Obshchestvennogo Mneniya: Ekonomicheskie i Sotsial'nye Peremeny, 5(147), 91–108.
  • Ünver, H. A. & Ertan, A. S. (2022). Politics of artificial intelligence adoption: Unpacking the regime type debate. Democratic Frontiers, 83–107.
  • Wallin, J. A. (2005). Bibliometric methods: Pitfalls and possibilities. Basic & Clinical Pharmacology & Toxicology, 97, 261–275. https://doi.org/10.1111/j.1742-7843.2005.pto_139.x
  • Woolgar, S. (1985). Why not a sociology of machines? The case of sociology and artificial intelligence. Sociology, 19(4), 557–572. https://doi.org/10.1177/0038038585019004004

A BIOMETRIC ANALYSIS WITH VOSVEWER ON THE CONCEPT OF ARTIFICIAL INTELLIGENCE IN SOCIOLOGY

Year 2025, Volume: 5 Issue: 1, 56 - 75, 30.06.2025

Abstract

One of the realities of the 21st century is artificial intelligence technology. Artificial intelligence, which can be used in almost every field, is effective in a large part of human life. Academic studies have started to be carried out in many fields on artificial intelligence, which has become one of the main elements of competition between countries, where large capitals are spent. It is seen that artificial intelligence, which has attracted a lot of attention in the field of engineering and science, has become the object of study of sociology in recent years. In this context, the present study aims to present a bibliometric analysis of the studies on artificial intelligence on the Web of Science database under the umbrella of sociology using VOSviewer software. Within the scope of the study, articles on artificial intelligence were analyzed according years, countries, number of citations and frequently used keywords. The findings obtained at the end of the research show that the studies in the field of sociology related to artificial intelligence have intensified especially in the last five years and the highest number of articles was reached in 2014, and the most studies were carried out in the ABD as a region.

References

  • Acar, O. (2020). Yapay zekâ: Fırsat mı yoksa tehdit mi? Kriter Yayınevi.
  • Akbaş, A. (2024). Yapay zekâ ile toplumsal dönüşüm: Sosyolojik perspektif. International Journal of Humanities and Education, 10(22), 151–180. https://doi.org/10.59304/ijhe.1477203
  • Akçakaya, M. S. (2024). SSCI indeksli sosyoloji dergilerinde güncel tartışmalar. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 4(1), 159–173. https://doi.org/10.32600/huefd.1285568
  • Akkaya, F. D. (2024). Deepfake dilemmas: Imagine tomorrow’s surveillance society through three scenarios. Journal of Economy, Culture and Society, 70, 121–134. http://10.26650/JECS2024-1462119
  • Altınay, Z., Altınay, F., Sharma, R. C., vd. (2024). Capacity building for student teachers in learning, teaching artificial intelligence for quality of education. Societies, 14(8). https://doi.org/10.3390/soc14080203
  • Aydın, N. (2024). Türkiye’de yapay zekâ alanında yapılan çalışmaların bibliyometrik analizi. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 27(52), 387–407. https://doi.org/10.31795/baunsobed.1545006
  • Barrett, H. & Rose, D. C. (2022). Perceptions of the fourth agricultural revolution: What’s in, what’s out, and what consequences are anticipated? Sociologia Ruralis, 62(2), 162–189. https://doi.org/10.1111/soru.12324
  • Boyacı, N. K. (2023). Tekniğe Dair Yaklaşımların Savaş ve Askerlik Mesleği Bağlamında Değerlendirilmesi. Istanbul University Journal of Sociology, 43(2), 275–294. https://doi.org/10.26650/SJ.2023.43.2.0046
  • Boyd, R. & Holton, R. J. (2018). Technology, innovation, employment and power: Does robotics and artificial intelligence really mean social transformation? Journal of Sociology, 54(3), 331–345. https://doi.org/10.1177/14407833177265
  • Burrell, J. & Fourcade, B. (2021). The society of algorithms. Annual Review of Sociology, 47, 213–237. https://doi.org/10.1146/annurev-soc-090820-020800
  • Collins, R. (1994). Why the social-sciences won’t become high-consensus, rapid-discovery science. Sociological Forum, 9(2), 155–177.
  • Demirel, S., Çakıcı, Z. & Bulur, N. (2024). Social perception of artificial intelligence on Twitter: A comparative study on Global South and Global North countries. Sociologicheskoe Obozrenie, 23(4), 48–79. http://10.17323/1728-192x-2024-4-48-79
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Duran, V. & Aydın, E. (2024). Eğitimde yapay zekânın kapsamlı incelenmesi: Web of Science veri tabanı üzerinden bir AI destekli bibliyometrik analiz. JSHSR, 11(104), 468–484. https://doi.org/10.5281/zenodo.10737254
  • Ekinci, G. & Bilginer-Özsaatçi, F. G. (2023). Yapay zekâ ve pazarlama alanındaki yayınların bibliyometrik analizi. Sosyoekonomi, 31(56), 369–388. https://doi.org/10.17233/sosyoekonomi.2023.02.17
  • Esposito, E. (2017). Artificial communication? The production of contingency by algorithms. Zeitschrift für Soziologie, 46(4), 249–265. https://doi.org/10.1515/zfsoz-2017-1012
  • Gülver, Ö. (2024). Suç korkusu üzerine yapılan çalışmaların bibliyometrik analizi. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 41(2), 642-658. https://doi.org/10.32600/huefd.1455606
  • Joyce, K., Smith-Doerr, L., Alegria, S., Bell, S., Cruz, T., Hoffman, S. G., ... & Shestakofsky, B. (2021). Toward a sociology of artificial intelligence: A call for research on inequalities and structural change. Socius, 7, 2378023121999581. https://doi.org/10.1177/2378023121999581
  • Kaplan, A. & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
  • Khan, M. W., Destek, M. A. & Khan, Z. (2025). Income inequality and artificial intelligence: Globalization and age dependency for developed countries. Social Indicators Research, 176(3), 1207–1233.
  • Kutlusoy, Z. (2019). Felsefe açısından yapay zekâ. G. Telli (Ed.), Yapay zekâ ve gelecek (ss. 25–43). Doğu Kitapevi.
  • Lv, X., Liu, Y., Luo, J., Liu, Y., & Li, C. (2021). Does a cute artificial intelligence assistant soften the blow? The impact of cuteness on customer tolerance of assistant service failure. Annals of Tourism Research, 87. https://doi.org/10.1016/j.annals.2020.103107
  • McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174–1182. https://doi.org/10.1016/j.artint.2007.10.009
  • Morgan, J. (2019). Will we work in twenty-first century capitalism? A critique of the fourth industrial revolution literature. Economy and Society, 48(3), 371–398. https://doi.org/10.1080/03085147.2019.1620027
  • Okubo, Y. (1997). Bibliometric indicators and analysis of research systems: Methods and examples. OECD Science, Technology and Industry Working Papers, 1, 3–68. https://dx.doi.org/10.1787/208277770603. Retrieved May 11, 2025, from https://www.oecd.org/content/dam/oecd/en/publications/reports/1997/01/bibliometric-indicators-and-analysis-of-research-systems_g17a152e/208277770603.pdf
  • Özer, M., Perc, M. & Suna, H. E. (2024a). Artificial intelligence bias and the amplification of inequalities in the labor market. Journal of Economy, Culture and Society, 69, 159–168. https://doi.org/10.26650/JECS2023-1415085
  • Özer, M., Perc, M. & Suna, H. E. (2024b). Participatory management can help artificial intelligence ethics adhere to social consensus. Istanbul University Journal of Sociology, 44(1), 221–238. https://doi.org/10.26650/SJ.2024.44.1.0001
  • Öztürk, K. & Şahin, M. E. (2018). Yapay sinir ağları ve yapay zekâya genel bir bakış. Takvim-i Vekayi, 6(2), 25–36.
  • Park, S. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81. https://doi.org/10.1016/j.annals.2020.102888
  • Park, S. & Humphry, J. (2019). Exclusion by design: Intersections of social, digital and data exclusion. Information, Communication and Society, 22(7), 934–953. https://doi.org/10.1080/1369118X.2019.1606266
  • Pritchard, A. & Wittig, G. R. (1981). Bibliometrics. AllM Books.
  • Rezaev, A. V. & Tregubova, N. D. (2018). Are sociologists ready for ‘artificial sociality’? Current issues and future prospects for studying artificial intelligence in the social sciences. Monitoring Obshchestvennogo Mneniya: Ekonomicheskie i Sotsial'nye Peremeny, 5(147), 91–108.
  • Ünver, H. A. & Ertan, A. S. (2022). Politics of artificial intelligence adoption: Unpacking the regime type debate. Democratic Frontiers, 83–107.
  • Wallin, J. A. (2005). Bibliometric methods: Pitfalls and possibilities. Basic & Clinical Pharmacology & Toxicology, 97, 261–275. https://doi.org/10.1111/j.1742-7843.2005.pto_139.x
  • Woolgar, S. (1985). Why not a sociology of machines? The case of sociology and artificial intelligence. Sociology, 19(4), 557–572. https://doi.org/10.1177/0038038585019004004
There are 35 citations in total.

Details

Primary Language Turkish
Subjects New Communication Technologies
Journal Section Makaleler
Authors

Can Çeliktaş 0000-0002-7357-5740

Publication Date June 30, 2025
Submission Date May 27, 2025
Acceptance Date June 17, 2025
Published in Issue Year 2025 Volume: 5 Issue: 1

Cite

APA Çeliktaş, C. (2025). SOSYOLOJİDE YAPAY ZEKA KAVRAMI ÜZERİNE VOSVİEWER İLE BİBLİYOMETRİK BİR ANALİZ. Scientific Journal of Innovation and Social Sciences Research, 5(1), 56-75.