Sosyal Medyada Yapay Zekâ Kullanımı: Uygulama Alanları ve Sosyal Etkileri

Eda Evlioğlu Gezer

doi:10.59534/jcss.1754165

EN TR

Use of Artificial Intelligence in Social Media: Application Areas and Social Impacts

Abstract

Artificial Intelligence (AI) technologies are undoubtedly considered one of the most significant developments of the 21st century and are considered a branch of computer science that studies the ability and potential to mimic human intelligence. AI applications are capable of performing tasks that exceed human capabilities, making them quite challenging. In recent years, various social media platforms, particularly Facebook, Twitter, Instagram, Pinterest, and YouTube, have utilized AI technologies to perform a wide variety of tasks, including content moderation, recommendation systems and personalization algorithms, user behavior analysis and predictive analysis, and synthetic media generation. Consequently, AI applications have become a fundamental component of social media platforms. This article aims to reveal the types of tasks AI technologies are used to perform on social media platforms and the potential impacts AI-enabled social media has on users and broader social systems.

Keywords

Social Media , Artificial Intelligence , Use of AI in Social Media , Personalization Algorithms , User Behavior Analysis

Sosyal Medyada Yapay Zekâ Kullanımı: Uygulama Alanları ve Sosyal Etkileri

Öz

Yapay Zekâ (YZ) teknolojileri şüphesiz 21. yüzyılın en önemli gelişmelerinden birisi olarak kabul edilmektedir ve insan zekasını taklit etme yeteneği ve potansiyeli üzerine çalışmalar yapan bilgisayar biliminin bir dalı olarak görülmektedir. YZ uygulamaları insan kapasitesini aşan görevleri yerine getirebilme yeteneğiyle oldukça zorlayıcı işleri yapabilme becerisine sahiptir. Bununla birlikte son yıllarda başta Facebook, Twitter, Instagram, Pinterest ve YouTube olmak üzere çeşitli sosyal medya platformları içerik denetimi, öneri sistemleri ve kişiselleştirme algoritmaları, kullanıcı davranışı analizi ve öngörücü analiz, sentetik medya üretimi gibi görevler başta olmak üzere YZ teknolojilerinden çok çeşitli görevleri yerine getirmek maksadıyla yararlanmaktadır. Dolayısıyla YZ uygulamaları sosyal medya platformlarının temel bileşeni haline gelmiş bulunmaktadır. Bu makale YZ teknolojilerinin sosyal medya platformlarında ne türden görevleri yerine getirmek maksadıyla kullanıldığını ve YZ destekli sosyal medyanın, kullanıcılar ve daha geniş anlamda sosyal sistemler üzerinde ne türden potansiyel etkiler oluşturduğunu ortaya koymayı amaçlamaktadır.

Anahtar Kelimeler

Sosyal Medya; , Yapay Zekâ , Sosyal Medyada Yapay Zekâ Kullanımı , Kişiselleştirme Algoritmaları , Kullanıcı Davranış Analizi

Kaynakça

Bailey, D. E., Faraj, S., Hinds, P. J., Leonardi, P. M. Krogh, G. (2022). “We Are All Theorists of Technology Now: A Relational Perspective on Emerging Technology and Organizing”. Organizat ion Science, 33(1): 1-18 ISSN 1047-7039.
Beyari, H., & Hashem, T. (2025). “The Role of Artificial Intelligence in Personalizing Social Media Marketing Strategies for Enhanced Customer Experience”. Behavioral Sciences, 15(5). https://doi.org/10.3390/ bs15050700
Castro-Martinez, A., & Diaz, P. (2022). “Optimization metrics and their consequences: Understanding engagement-driven recommendation systems”. New Media & Society, 24(5), 1134-1152.
Chen, H., Li, L., Chen, Y. (2020). “Explore success factors that impact artificial intelligence adoption on telecom industry in China”. Journal of Management Analytics.
Choras, M., Demestichas, K., Gielczyk, A., Herrero, A., Ksieniewicz, P., Remoundou, K., Urda, D., & Wozniak, M. (2021). “Advanced machine learning techniques for fake news (online disinformation) detection: A systematic mapping study”. Applied Soft Computing, 101.
Darban, K., Kabbaj, S., & El Jai, M. (2024) “Beyond AI-Generated Essays: Engaging Students in Collaborative Decision-Making Processes in Management Education”. İçinde Empowering Digital Education with ChatGPT (s. 264-283). Chapman&Hall Publish.
Edwards, L., Veale, M., & Singh, J. (2022). “Predictive power: Machine learning capabilities for attribute inference on social platforms”. Oxford Internet Institute Working Paper Series.
Ghosh, M., Thirugnanam, A. (2021). “Introduction to Artificial Intelligence”. İçinde Srinivasa, K.G., G. M., S., Sekhar, S.R.M. (der.) Artificial Intelligence for Information Management: A Healthcare Perspective. Springer, Singapore. https://doi.org/10.1007/978-981-16-0415-7_2
Gonzalez, R., & Park, S. (2022). Active versus passive social media use: Differential associations with adolescent well-being across five countries. Journal of Adolescent Health, 70(3), 478-486.
Greengard, S. (2019). “What is artificial intelligence?” (Erişim tarihi: Ekim 2024).https://www.datamation.com/artificial-intelligence/what-is-artificial-intelligence.html

Haidt, J., & Twenge, J. (2023). “Social media and adolescent mental health: A longitudinal analysis of platform effects”. Journal of Child Psychology and Psychiatry, 64(5), 591-607.
Ibrahim, M., & Lee, K. (2024). “Novel misinformation: Generative AI and the transformation of content verification challenges”. Political Communication, 41(3), 418-437.
Johnson, T., Williams, R., & Davis, K. (2023). “Marking the synthetic: Technical approaches to identifying AI-generated content”. Proceedings of the 2023 IEEE Symposium on Security and Privacy, 214-229.
Jones, V. (2020). Artificial intelligence enabled deepfake technology: The emergence of a new threat. Utica College.
Khichi, M., & Yadav, R.K. (2021). “Analyzing the methods for detecting deepfakes”. 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 340-345.
Klausen, J., Thompson, R., & Davis, J. (2024). “The human cost of content moderation: Psychological impacts on platform workers”. Social Problems, 71(1), 129-151.
Leblanc, C.& Roux, A. (2025). “AI and Social Media: An Integrative Literature Review”. Communication Management. hal-05041614
Lekshmi K. S. C., Ayaseelan, R., Kadeswaran, S. (2024). “Revolutionizing Social Media Marketing: A Study on the Role of Artificial Intelligence in Social Media Marketing Strategies with Special Reference to Influencer Marketing”. International Journal of Creative Research Thoughts (IJCRT). 12(7). ISSN: 2320-2882
Martinez, J., & Johnson, T. (2023). “Social media users' awareness and attitudes toward AI systems”. Pew Research Center Report.
McCarthy, J., Minsky, M., Rochester, N., Shannon, C. (1955). “A proposal for the Dartmouth Summer Research Project on Artificial Intelligence”. http://www-formal.stanford.edu/jmc/history/dartmouth.html.
Mosa, M.J., Barhoom, A.M., Alhabbash, M.I., Harara, F.E., Abu-Nasser, B.S., Abu-Naser, S.S. (2024). “AI and Ethics in Surveillance: Balancing Security and Privacy in a Digital World”. International Journal of Academic Engineering Research (IJAER). 8(10), 8-15. ISSN: 2643-9085
Quadros, M. (2020). “Artificial intelligence in social media marketing” (Erişim Tarihi: Ekim 2024). https://www.socialbakers.com/blog/ai-in-social- media
Pathak, P., Yadav, V., Pillai, S., Das, S., Kansal, G. (2023). “Unveiling the Success Behind Tesla’s Digital Marketing Strategy”. Lecture Notes in Networks and Systems. ISBN 978-981-19-4192-4.
Roberts, S. T. (2024). Behind the Screen: Content Moderation in the Shadows of Social Media. Yale University Press.
Sadikul, M. N. O. (1989). “Artificial intelligence", IEEE Potentials, (s.35-39).
Sadikul, M.N.O., Tolulope, O., Ashaolu, J., Ajayi-Majebi, A., Musa, S. M. (2021). “Artificial Intelligence in Social Media”. International Journal of Scientific Advances. 2(1). ISSN: 2708-7972
Sterling, A., & Nematzadeh, A. (2024). “Generative AI and content creation practices: Transformations in digital visual culture”. New Media & Society, 26(4), 741-759.
Van Dijck, J., & Poell, T. (2023). “Social media platforms as public infrastructures: Rethinking governance frameworks”. Information, Communication & Society, 26(12), 2140-2156.
Wong, K., & Miyazaki, A. (2023). “Algorithmic impact on cross-cutting exposure: A longitudinal study of Twitter users”. Political Communication, 40(2), 189-213.
Wong, J., Davis, K., & Martinez, J. (2024). “The economic value of prediction: How behavioral data drives social media business models”. New Media & Society, 26(2), 317-336.
Wu, C.&Chiu, Y. (2023). “Pricing and content development for online media platforms regarding consumer homing choices”. European Journal of Operational Research, 305(1), (s. 312-328).
Yadav, S., Yadav, P., Banshiwal, N. (2024). “Artificial Intelligence Integration in Social Media Marketing: A Comprehensive Analysis”. Journal of Emerging Technologies and Innovative Research (JETIR). 11(6). ISSN-2349-5162

Ayrıntılar

Birincil Dil

Türkçe

Konular

İletişim ve Medya Çalışmaları (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

Eda Evlioğlu Gezer ^*
0000-0003-0926-964X
Türkiye

Erken Görünüm Tarihi

1 Eylül 2025

Yayımlanma Tarihi

30 Eylül 2025

Gönderilme Tarihi

30 Temmuz 2025

Kabul Tarihi

4 Ağustos 2025

Yayımlandığı Sayı

Yıl 1970 Cilt: 5 Sayı: 2

DOI

https://doi.org/10.59534/jcss.1754165

IZ

https://izlik.org/JA96BS58UH

APA

Evlioğlu Gezer, E. (2025). Sosyal Medyada Yapay Zekâ Kullanımı: Uygulama Alanları ve Sosyal Etkileri. İletişim ve Toplum Araştırmaları Dergisi, 5(2), 516-528. https://doi.org/10.59534/jcss.1754165

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Use of Artificial Intelligence in Social Media: Application Areas and Social Impacts

Abstract

Keywords

Sosyal Medyada Yapay Zekâ Kullanımı: Uygulama Alanları ve Sosyal Etkileri

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Erken Görünüm Tarihi

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

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