ALGORITHMIC CURATION AND CREATIVE PRODUCTION: THE EFFECTS OF SOCIAL MEDIA PLATFORMS ON ART
Yıl 2026,
Cilt: 16 Sayı: 2
,
933
-
947
,
01.04.2026
Necati Vardar
,
Çağrı Gümüş
Öz
Algorithmic curation mechanisms that govern content circulation on digital platforms are transforming artistic production processes not only in terms of visibility but also regarding aesthetic choices, production strategies, and creative autonomy. This study aims to examine the effects of algorithmic curation on visual art production from a theoretical perspective. Based on a systematic analysis of contemporary literature, the research proposes an original analytical framework structured around the dimensions of algorithmic visibility, strategic adaptation, and ethical tension. The “Algorithmic Visibility-Creative Autonomy Axis Model” developed in this direction discusses the relationship between artistic production and platform dynamics at a conceptual level and offers measurable analysis dimensions and an original reference framework for future qualitative and quantitative research.
Teşekkür
This study is respectfully dedicated to Mustafa Kemal Atatürk, who pioneered the institutionalization of modern thought, science, and the arts in Türkiye.
Kaynakça
-
Bishop, S. (2023). Influencer creep: How artists strategically navigate the platformisation of art worlds. New Media & Society, 27(4), 2109–2126. https://doi.org/10.1177/14614448231206090
-
Bishop, S., & Kant, T. (2023). Algorithmic autobiographies and fictions: A digital method. The Sociological Review, 71(5), 1012–1036. https://doi.org/10.1177/00380261221146403
-
Bleier, A., Fossen, B. L., & Shapira, M. (2024). On the role of social media platforms in the creator economy. International Journal of Research in Marketing, 41(3), 411–426. https://doi.org/10.1016/j.ijresmar.2024.06.006
-
Bucher, T. (2018). If... then: Algorithmic power and politics.
Oxford University Press. https://doi.org/10.1093/oso/9780190493028.001.0001
-
Caplan, R., & boyd, d. (2018). Isomorphism through algorithms: Institutional dependencies in the case of Facebook. Big Data & Society, 5(1). https://doi.org/10.1177/2053951718757253
-
Cotter, K. (2019). Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram. New Media & Society, 21(4), 895–913. https://doi.org/10.1177/1461444818815684
-
Danto, A. C. (1981). The transfiguration of the commonplace: A philosophy of art. Harvard University Press.
-
Frieling, R. (Ed.). (2008). The art of participation: 1950 to now.
San Francisco Museum of Modern Art; Thames & Hudson/WW Norton.
-
Gillespie, T. (2014). The relevance of algorithms. In T. Gillespie, P. J. Boczkowski, & K. A. Foot (Eds.), Media technologies: Essays on communication, materiality, and society (pp. 167–194). MIT Press. https://doi.org/10.7551/mitpress/9780262525374.003.0009
-
Guan, H., & Chen, P. (2025). Meaning in the Algorithmic Museum:
Towards a dialectical modelling nexus of virtual curation. Heritage, 8(7), 284. https://doi.org/10.3390/heritage8070284
-
Kang, X., Chen, W., & Kang, J. (2019). Art in the age of social media: Interaction behavior analysis of Instagram art accounts. Informatics, 6(4), 52. https://doi.org/10.3390/informatics6040052
-
Kitchin, R. (2017). Thinking critically about and researching algorithms. Information, Communication & Society, 20(1), 14–29. https://doi.org/10.1080/1369118X.2016.1154087
-
Leong, W. Y. (2025). Machine learning in evolving art styles: A study of algorithmic creativity. Engineering Proceedings, 92(1), 45. https://doi.org/10.3390/engproc2025092045
-
Nieborg, D. B., & Poell, T. (2018). The platformization of cultural production: Theorizing the contingent cultural commodity. New Media & Society, 20(11), 4275–4292. https://doi.org/10.1177/1461444818769694
-
Paul, C. (2016). Digital art (3rd ed.). Thames & Hudson.
-
Paul, C. (2020). Digital art now: Histories of (im)materialities. International Journal for Digital Art History, (5), 2.2–2.11. https://doi.org/10.11588/dah.2020.5.75504
-
Schaerf, L., Ballesteros, P., Bernasconi, V., Neri, I., & Negueruela del Castillo, D. (2024). AI art curation: Re-imagining the city of Helsinki in occasion of its Biennial [Preprint]. arXiv. https://arxiv.org/abs/2306.03753
-
Srinivasan, R. (2024). To see or not to see: Understanding the tensions of algorithmic curation for visual arts. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’24), 444–455. https://doi.org/10.1145/3630106.3658917
-
Yang, X. (2024). The impact of social media on the commercialization and market value of visual art. Proceedings of the 2nd International Conference on Art Studies: Science, Experience, Education (ICASSEE 2024). https://doi.org/10.54254/2753-7048/40/20240735
-
Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), pgae052. https://doi.org/10.1093/pnasnexus/pgae052
ALGORİTMİK KÜRASYON VE YARATICI ÜRETİM: SOSYAL MEDYA PLATFORMLARININ SANAT ÜZERİNDEKİ ETKİLERİ
Yıl 2026,
Cilt: 16 Sayı: 2
,
933
-
947
,
01.04.2026
Necati Vardar
,
Çağrı Gümüş
Öz
Dijital platformlarda içerik dolaşımını yönlendiren algoritmik kürasyon mekanizmaları, sanatsal üretim süreçlerini yalnızca görünürlük açısından değil, estetik tercihler, üretim stratejileri ve yaratıcı özerklik bağlamında da dönüştürmektedir. Bu çalışma, algoritmik kürasyonun görsel sanat üretimi üzerindeki etkilerini kuramsal bir perspektiften incelemeyi amaçlamaktadır. Araştırma, güncel literatürün sistematik bir çözümlemesine dayanarak, algoritmik görünürlük, stratejik uyum ve etik gerilim eksenlerinde özgün bir analitik çerçeve önermektedir. Çalışma, mevcut literatürün sistematik analizine dayalı teorik bir yaklaşım benimsemekte; sanatsal üretim ile platform dinamikleri arasındaki ilişkiyi kavramsal düzeyde tartışmaktadır. Bu doğrultuda geliştirilen “Algoritmik Görünürlük-Yaratıcı Özerklik Ekseni Modeli”, alanda yapılacak gelecek nitel ve nicel araştırmalar için ölçülebilir analiz boyutları ve özgün bir referans çerçevesi sunmaktadır.
Teşekkür
Bu çalışma, çağdaş düşünce, bilim ve sanat anlayışının Türkiye’de kurumsallaşmasına öncülük eden Mustafa Kemal Atatürk’e saygıyla ithaf edilmiştir.
Kaynakça
-
Bishop, S. (2023). Influencer creep: How artists strategically navigate the platformisation of art worlds. New Media & Society, 27(4), 2109–2126. https://doi.org/10.1177/14614448231206090
-
Bishop, S., & Kant, T. (2023). Algorithmic autobiographies and fictions: A digital method. The Sociological Review, 71(5), 1012–1036. https://doi.org/10.1177/00380261221146403
-
Bleier, A., Fossen, B. L., & Shapira, M. (2024). On the role of social media platforms in the creator economy. International Journal of Research in Marketing, 41(3), 411–426. https://doi.org/10.1016/j.ijresmar.2024.06.006
-
Bucher, T. (2018). If... then: Algorithmic power and politics.
Oxford University Press. https://doi.org/10.1093/oso/9780190493028.001.0001
-
Caplan, R., & boyd, d. (2018). Isomorphism through algorithms: Institutional dependencies in the case of Facebook. Big Data & Society, 5(1). https://doi.org/10.1177/2053951718757253
-
Cotter, K. (2019). Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram. New Media & Society, 21(4), 895–913. https://doi.org/10.1177/1461444818815684
-
Danto, A. C. (1981). The transfiguration of the commonplace: A philosophy of art. Harvard University Press.
-
Frieling, R. (Ed.). (2008). The art of participation: 1950 to now.
San Francisco Museum of Modern Art; Thames & Hudson/WW Norton.
-
Gillespie, T. (2014). The relevance of algorithms. In T. Gillespie, P. J. Boczkowski, & K. A. Foot (Eds.), Media technologies: Essays on communication, materiality, and society (pp. 167–194). MIT Press. https://doi.org/10.7551/mitpress/9780262525374.003.0009
-
Guan, H., & Chen, P. (2025). Meaning in the Algorithmic Museum:
Towards a dialectical modelling nexus of virtual curation. Heritage, 8(7), 284. https://doi.org/10.3390/heritage8070284
-
Kang, X., Chen, W., & Kang, J. (2019). Art in the age of social media: Interaction behavior analysis of Instagram art accounts. Informatics, 6(4), 52. https://doi.org/10.3390/informatics6040052
-
Kitchin, R. (2017). Thinking critically about and researching algorithms. Information, Communication & Society, 20(1), 14–29. https://doi.org/10.1080/1369118X.2016.1154087
-
Leong, W. Y. (2025). Machine learning in evolving art styles: A study of algorithmic creativity. Engineering Proceedings, 92(1), 45. https://doi.org/10.3390/engproc2025092045
-
Nieborg, D. B., & Poell, T. (2018). The platformization of cultural production: Theorizing the contingent cultural commodity. New Media & Society, 20(11), 4275–4292. https://doi.org/10.1177/1461444818769694
-
Paul, C. (2016). Digital art (3rd ed.). Thames & Hudson.
-
Paul, C. (2020). Digital art now: Histories of (im)materialities. International Journal for Digital Art History, (5), 2.2–2.11. https://doi.org/10.11588/dah.2020.5.75504
-
Schaerf, L., Ballesteros, P., Bernasconi, V., Neri, I., & Negueruela del Castillo, D. (2024). AI art curation: Re-imagining the city of Helsinki in occasion of its Biennial [Preprint]. arXiv. https://arxiv.org/abs/2306.03753
-
Srinivasan, R. (2024). To see or not to see: Understanding the tensions of algorithmic curation for visual arts. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’24), 444–455. https://doi.org/10.1145/3630106.3658917
-
Yang, X. (2024). The impact of social media on the commercialization and market value of visual art. Proceedings of the 2nd International Conference on Art Studies: Science, Experience, Education (ICASSEE 2024). https://doi.org/10.54254/2753-7048/40/20240735
-
Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3(3), pgae052. https://doi.org/10.1093/pnasnexus/pgae052