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Dijital Reklamcılıkta Simülasyonun İzdüşümü: Üretken Yapay Zeka Etkileyicilerinin Simülakr Olarak İnşası

Yıl 2025, Sayı: 70, 147 - 169, 17.07.2025
https://doi.org/10.47998/ikad.1660670

Öz

Baudrillard, simülasyon kuramı çerçevesinde gerçeklik algısının nasıl dönüşüme uğradığını ve bu sürecin reklamcılığa etkilerini ele almaktadır. Ona göre medya ve tüketim kültürü, gerçeklikle bağı kopmuş simülakrlar üreterek hipergerçeklik yaratmaktadır. Dijital reklamcılık, bu hipergerçek imgeleri tüketicileri yönlendirmek amacıyla kullanmaktadır. İçerik üretme aracı olarak makine öğrenmesine dayalı üretken yapay zeka, bu imgelerin oluşturulmasını sağlayan bir yapay zeka türüdür ve kendi kendine öğrenen sistemler sayesinde insan benzeri içerikler oluşturma imkanı sunmaktadır. Bu bağlamda, üretken yapay zeka etkileyicileri, insan etkileyicilere benzer biçimde kurgulanan ve kullanıcılarla etkileşime geçen sanal varlıklar olarak ortaya çıkmakta; ancak Baudrillard’ın hipergerçeklik kavramı çerçevesinde, gerçek bir referansa dayanmadan yalnızca kendi temsilini üreten simülakr figürler olarak konumlanmaktadır. Bu doğrultuda, çalışmanın amacı Baudrillard’ın teorisini kullanarak üretken yapay zeka etkileyicilerinin simülakr olarak nasıl işlediğini, bu simülakrların dijital reklamcılığı nasıl şekillendirdiğini incelemektir. Araştırmada, göstergebilimsel analiz yöntemi kullanılarak Seren Ay ve Aitana Lopez adlı üretken yapay zeka etkileyicilerinin Instagram hesaplarındaki reklam içerikli paylaşımları incelenmiştir. Amaçlı örneklem tekniğiyle seçilen iki üretken yapay zeka etkileyicisi, dijital reklamcılığın farklı dinamiklerini temsil etmektedir. Gönderiler, Roland Barthes’ın düzanlam ve yananlam modeli temel alınarak çözümlenmiştir. Bulgular, üretken yapay zeka etkileyicilerinin simülakr figürler olarak hipergerçekçi bir anlatı inşa ettiğini, reklamcılık bağlamında tüketicilere idealize edilmiş yaşam tarzları ve özgünlük sunduğunu ortaya koymaktadır. Reklam stratejileri, yapay zeka figürlerinin gerçek insan etkileyiciler gibi konumlandırıldığını ve onların sosyal etkileşimlerini simüle ettiğini göstermektedir. Bu çalışma, üretken yapay zekanın reklamcılıkta nasıl bir simülakr olarak işlev gördüğünü ve tüketici algısını nasıl yönlendirdiğini tartışarak dijital reklam çalışmalarına teorik bir katkı sunmayı amaçlamaktadır.

Kaynakça

  • Acar Şentürk, Z. & Tos, O. (2021). Sosyal medyada simülasyon pazarlamasının göstergeleri: Facebook uygulamalarına yönelik göstergebilimsel analiz. Selçuk İletişim Dergisi, 14(4), 1605-1640. https://doi.org/10.18094/josc.934209
  • Ahn, R. J., Cho, S. Y. & Tsai, W. S. (2022). Demystifying computer-generated imagery (CGI) influencers: The effect of perceived anthropomorphism and social presence on brand outcomes. Journal of Interactive Advertising, 22(3), 327-335. https://doi.org/10.1080/15252019.2022.2111242
  • Arsenyan, J. & A. Mirowska. (2021). Almost human? A comparative case study on the social media presence of virtual ınfluencers. International Journal of Human- Computer Studies, 155, 102694. https://doi.org/10.1016/j. ijhcs.2021.102694
  • Azzahra, J. & Christin, M. (2024). The hyperreality of virtual influencer Lentari Pagi on Instagram. International Journal Software Engineering and Computer Science, 4(1), 165-174. https://doi.org/10.35870/ijsecs.v4i1.2304
  • Baek, T. H. (2023). Digital advertising in the age of generative AI. Journal of Current Issues & Research in Advertising, 44(3), 249-251. https://doi.org/10.1080/10641734.2023.2243496
  • Barthes, R. (2023). Çağdaş söylenler (T. Yücel, Çev.). Metis Yayınları.
  • Baudrillard, J. (2018). Simülakrlar ve simülasyon. Doğubatı.
  • Batı, U. (2016). Reklamın dili. Alfa.
  • Campbell, C, Plangger, K., Sands, S. & Kietzmann, J. (2022). Preparing for an era of deepfakes and AI-generated ads: A framework for understanding responses to manipulated advertising. Journal of Advertising, 51(1), 22–38. https://doi.org/10.1080/ 00913367.2021.1909515
  • Chen, J. C. C. (2021). The interplay of avatar identities, Self-efficacy, and language practices. Australian Review of Applied Linguistics, 44(1), 65–81. https://doi.org/10.1075/aral.19032.che
  • Choudhry, A., Han, J., Xu, X. & Huang, Y. (2022). I felt a little crazy following a doll: Investigating real influence of virtual influencers on their followers. Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue GROUP, 1–28. https://doi.org/10.1145/3492862
  • Crowther, P. & Donlan. L. (2011). Value-creation space: The role of events in a service-dominant marketing paradigm. Journal of Marketing Management, 27(13– 14), 1444–1463. https://doi.org/10.1080/0267257X.2011.626786
  • Cunningham, J. (2024). Simulacra on steroids: AI art and the Baudrillardian hyperreal. Issues in Information Systems, 25(2), 1-8. https://doi.org/10.48009/2_iis_2024_101
  • Dağtaş, B. (2012). Reklamı okumak. Ütopya Yayınevi.
  • Daherman, Y., Taufiq, I., Moekahar, F. & Haryadi, O. (2024). Hyperreality of #pilpres2024 in digital political advertisements on social media based on artificial intelligence. Journal of Law and Sustainable Development, 12(1), e2419. https://doi.org/10.55908/sdgs.v12i1.2419
  • da Silva Oliveira, A. B. & P. Chimenti. (2021). Humanized robots: A proposition of categories to understand virtual influencers. Australasian Journal of Information Systems, 25, 1–27.
  • Dauvergne, P. (2020). AI in the wild: Sustainability in the age of artificial intelligence. The MIT Press.
  • Debord, G. (2017). Gösteri toplumu (A. Ekmekçi & O. Taşkent, Çev.). Ayrıntı Yayınları.
  • Deleuze, G. (2014). Sinema 1: Hareket-imge (E. Nahum, B. Yalım & E Koyuncu, Çev.). Norgunk Yayınları.
  • Drenten, J. & Brooks, G. (2020). Celebrity 2.0: Lil Miquela and the rise of a virtual star system. Feminist Media Studies, 20(8), 1319–1323. https://doi.org/10.1080/14680777.2020.1830927
  • Dündar, F. N. (2012). Reklam-simülasyon etkileşimi. Sosyal ve Beşeri Bilimler Dergisi, 4(1), 117-124.
  • El Hedhli, K., Zourrig, H., Al Khateeb, A. & Alnawas, I. (2023). Stereotyping human-like virtual ınfluencers in retailing: Does warmth prevail over competence? Journal of Retailing and Consumer Services, 75, 103459. https://doi.org/10.1016/j.jretconser.2023.103459
  • Essien, E. O. (2024). Deconstructing hypertruth: Baudrillard’s semiotic analysis. The International Journal of the Image, 15(2), 19-36. https://doi.org/10.18848/2154-8560/CGP/v15i02/19-36
  • Feng, Y., Chen, H. & Xie, Q. (2024). AI influencers in advertising: The role of AI influencer-related attributes in shaping consumer attitudes, consumer trust, and perceived influencer–product fit. Journal of Interactive Advertising, 24(1), 26-47. https://doi.org/10.1080/15252019.2023.2284355
  • Ferrari, F. & McKelvey, F. (2023). Hyperproduction: A social theory of deep generative models. Distinktion: Journal of Social Theory, 24(2), 338-360. https://doi.org/10.1080/1600910X.2022.2137546
  • Fiske, J. (2017). İletişim çalışmalarına giriş (S. İrvan, Çev.). Pharmakon Yayınları.
  • Franke, C., Groeppel-Klein, A. & Mu€ller, K. (2023). Consumers’ responses to virtual influencers as advertising endorsers: Novel and effective or uncanny and deceiving?” Journal of Advertising, 52(4), 523–539. https://doi.org/10.1080/00913367.2022.2154721
  • Grigoriadis, I. N. & Karabıcak, O. T. (2022). Baudrillard in Ankara: Mainstream media and the production of simulacra in the Turkish public sphere. British Journal of Middle Eastern Studies, 49(5), 1037-1051. https://doi.org/10.1080/13530194.2021.1900781
  • Haraway, D. (2013). A cyborg manifesto: Science, technology, and socialist-feminism in the late twentieth century. The transgender studies reader içinde (ss. 103-118). Routledge.
  • Hayes, A. (2019). Virtual influencers: What are they & how do they work?. https://influencermatchmaker.co.uk/news/virtual-influencers-what-are-they-how-do-they-work
  • Huh, J., Nelson, M. R. & Russell, C. A. (2023). ChatGPT, AI advertising, and advertising research and education. Journal of Advertising, 52(4), 477–482. https://doi.org/10.1080/00913367.2023.2227013
  • Irvine, M. (2014). Remix and the dialogic engine of culture: A model for generative combinatoriality. İçinde Eduardo Navas (Ed.), Remix and the dialogic engine of culture (ss. 1-56). Routledge.
  • Influencer Marketing Hub. (2025). Influencer marketing benchmark report 2025. https://influencermarketinghub.com/influencer-marketing-benchmark-report
  • Jiang, S. & Li, K. (2025). Another kind of authenticity: The visual simulacra of artificial intelligence. Digital Creativity, 1-17. https://doi.org/10.1080/14626268.2025.2467087
  • Jordan, M. I. & Mitchell, T. M.. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. https://doi.org/10. 1126/science.aaa8415
  • Kamašauskė, S. & Zederevıčıūtė-Pačıauskıenė, S. (2025). Creativity and disinformation in artificial intelligence-driven fashion communication. Creativity Studies, 18(1), 64–78.
  • Kurtdaş, M. Ç. (2018). Jean Baudrilliard'ın simülasyon kuramında kitle iletişim araçları ve toplumsalın sonu. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11(3), 2012-2023.
  • Li, J. & Ma, Y. (2024). Virtual influencers in advertisements: Examining the role of authenticity and identification. Journal of Interactive Advertising, 24(1), 1-12. https://doi.org/10.1080/15252019.2023.2270478
  • Lou, C., Kiew, S. T. J., Chen, T., Lee, T. Y. M., Ong, J. E. C. & Phua, Z. (2022). Authentically fake? How consumers respond to the influence of virtual influencers. Journal of Advertising, 1–18.
  • Marr, B. (2023, November 30). Generative AI and the future of content creation. Forbes. https://www.forbes.com/sites/bernardmarr/2023/11/30/generative-ai-and-the-future-of-content-creation/
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The Projection of Simulation in Digital Advertising: The Construction of Generative AI Influencers as Simulacra

Yıl 2025, Sayı: 70, 147 - 169, 17.07.2025
https://doi.org/10.47998/ikad.1660670

Öz

Baudrillard discusses how the perception of reality is transformed within the framework of simulation theory and the effects of this process on advertising. According to him, media and consumer culture create hyperreality by producing simulacra that are disconnected from reality. Digital advertising uses these hyperreal images to influence consumers. Generative artificial intelligence, based on machine learning, is a type of AI that enables the creation of these images and allows for the production of human-like content through self-learning systems. In this context, generative AI influencers emerge as virtual beings constructed similarly to human influencers and interact with users; however, within the framework of Baudrillard's concept of hyperreality, they are positioned as simulacra figures that produce their own representation without relying on a real reference. Accordingly, the aim of this study is to use Baudrillard's theory to examine how generative AI influencers function as simulacra and how these simulacra shape digital advertising. In the study, the advertising posts of generative AI influencers named Seren Ay and Aitana Lopez on their Instagram accounts were analyzed using semiotic analysis. The two generative AI influencers, selected through purposive sampling, represent different dynamics of digital advertising. The posts were analyzed based on Roland Barthes' model of denotation and connotation. The findings reveal that generative AI influencers construct a hyperrealistic narrative as simulacra figures, offering idealized lifestyles and authenticity to consumers in the context of advertising. Advertising strategies position AI figures as real human influencers and simulate their social interactions. This study aims to make a theoretical contribution to digital advertising studies by discussing how generative AI functions as a simulacrum in advertising and how it influences consumer perception.

Kaynakça

  • Acar Şentürk, Z. & Tos, O. (2021). Sosyal medyada simülasyon pazarlamasının göstergeleri: Facebook uygulamalarına yönelik göstergebilimsel analiz. Selçuk İletişim Dergisi, 14(4), 1605-1640. https://doi.org/10.18094/josc.934209
  • Ahn, R. J., Cho, S. Y. & Tsai, W. S. (2022). Demystifying computer-generated imagery (CGI) influencers: The effect of perceived anthropomorphism and social presence on brand outcomes. Journal of Interactive Advertising, 22(3), 327-335. https://doi.org/10.1080/15252019.2022.2111242
  • Arsenyan, J. & A. Mirowska. (2021). Almost human? A comparative case study on the social media presence of virtual ınfluencers. International Journal of Human- Computer Studies, 155, 102694. https://doi.org/10.1016/j. ijhcs.2021.102694
  • Azzahra, J. & Christin, M. (2024). The hyperreality of virtual influencer Lentari Pagi on Instagram. International Journal Software Engineering and Computer Science, 4(1), 165-174. https://doi.org/10.35870/ijsecs.v4i1.2304
  • Baek, T. H. (2023). Digital advertising in the age of generative AI. Journal of Current Issues & Research in Advertising, 44(3), 249-251. https://doi.org/10.1080/10641734.2023.2243496
  • Barthes, R. (2023). Çağdaş söylenler (T. Yücel, Çev.). Metis Yayınları.
  • Baudrillard, J. (2018). Simülakrlar ve simülasyon. Doğubatı.
  • Batı, U. (2016). Reklamın dili. Alfa.
  • Campbell, C, Plangger, K., Sands, S. & Kietzmann, J. (2022). Preparing for an era of deepfakes and AI-generated ads: A framework for understanding responses to manipulated advertising. Journal of Advertising, 51(1), 22–38. https://doi.org/10.1080/ 00913367.2021.1909515
  • Chen, J. C. C. (2021). The interplay of avatar identities, Self-efficacy, and language practices. Australian Review of Applied Linguistics, 44(1), 65–81. https://doi.org/10.1075/aral.19032.che
  • Choudhry, A., Han, J., Xu, X. & Huang, Y. (2022). I felt a little crazy following a doll: Investigating real influence of virtual influencers on their followers. Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue GROUP, 1–28. https://doi.org/10.1145/3492862
  • Crowther, P. & Donlan. L. (2011). Value-creation space: The role of events in a service-dominant marketing paradigm. Journal of Marketing Management, 27(13– 14), 1444–1463. https://doi.org/10.1080/0267257X.2011.626786
  • Cunningham, J. (2024). Simulacra on steroids: AI art and the Baudrillardian hyperreal. Issues in Information Systems, 25(2), 1-8. https://doi.org/10.48009/2_iis_2024_101
  • Dağtaş, B. (2012). Reklamı okumak. Ütopya Yayınevi.
  • Daherman, Y., Taufiq, I., Moekahar, F. & Haryadi, O. (2024). Hyperreality of #pilpres2024 in digital political advertisements on social media based on artificial intelligence. Journal of Law and Sustainable Development, 12(1), e2419. https://doi.org/10.55908/sdgs.v12i1.2419
  • da Silva Oliveira, A. B. & P. Chimenti. (2021). Humanized robots: A proposition of categories to understand virtual influencers. Australasian Journal of Information Systems, 25, 1–27.
  • Dauvergne, P. (2020). AI in the wild: Sustainability in the age of artificial intelligence. The MIT Press.
  • Debord, G. (2017). Gösteri toplumu (A. Ekmekçi & O. Taşkent, Çev.). Ayrıntı Yayınları.
  • Deleuze, G. (2014). Sinema 1: Hareket-imge (E. Nahum, B. Yalım & E Koyuncu, Çev.). Norgunk Yayınları.
  • Drenten, J. & Brooks, G. (2020). Celebrity 2.0: Lil Miquela and the rise of a virtual star system. Feminist Media Studies, 20(8), 1319–1323. https://doi.org/10.1080/14680777.2020.1830927
  • Dündar, F. N. (2012). Reklam-simülasyon etkileşimi. Sosyal ve Beşeri Bilimler Dergisi, 4(1), 117-124.
  • El Hedhli, K., Zourrig, H., Al Khateeb, A. & Alnawas, I. (2023). Stereotyping human-like virtual ınfluencers in retailing: Does warmth prevail over competence? Journal of Retailing and Consumer Services, 75, 103459. https://doi.org/10.1016/j.jretconser.2023.103459
  • Essien, E. O. (2024). Deconstructing hypertruth: Baudrillard’s semiotic analysis. The International Journal of the Image, 15(2), 19-36. https://doi.org/10.18848/2154-8560/CGP/v15i02/19-36
  • Feng, Y., Chen, H. & Xie, Q. (2024). AI influencers in advertising: The role of AI influencer-related attributes in shaping consumer attitudes, consumer trust, and perceived influencer–product fit. Journal of Interactive Advertising, 24(1), 26-47. https://doi.org/10.1080/15252019.2023.2284355
  • Ferrari, F. & McKelvey, F. (2023). Hyperproduction: A social theory of deep generative models. Distinktion: Journal of Social Theory, 24(2), 338-360. https://doi.org/10.1080/1600910X.2022.2137546
  • Fiske, J. (2017). İletişim çalışmalarına giriş (S. İrvan, Çev.). Pharmakon Yayınları.
  • Franke, C., Groeppel-Klein, A. & Mu€ller, K. (2023). Consumers’ responses to virtual influencers as advertising endorsers: Novel and effective or uncanny and deceiving?” Journal of Advertising, 52(4), 523–539. https://doi.org/10.1080/00913367.2022.2154721
  • Grigoriadis, I. N. & Karabıcak, O. T. (2022). Baudrillard in Ankara: Mainstream media and the production of simulacra in the Turkish public sphere. British Journal of Middle Eastern Studies, 49(5), 1037-1051. https://doi.org/10.1080/13530194.2021.1900781
  • Haraway, D. (2013). A cyborg manifesto: Science, technology, and socialist-feminism in the late twentieth century. The transgender studies reader içinde (ss. 103-118). Routledge.
  • Hayes, A. (2019). Virtual influencers: What are they & how do they work?. https://influencermatchmaker.co.uk/news/virtual-influencers-what-are-they-how-do-they-work
  • Huh, J., Nelson, M. R. & Russell, C. A. (2023). ChatGPT, AI advertising, and advertising research and education. Journal of Advertising, 52(4), 477–482. https://doi.org/10.1080/00913367.2023.2227013
  • Irvine, M. (2014). Remix and the dialogic engine of culture: A model for generative combinatoriality. İçinde Eduardo Navas (Ed.), Remix and the dialogic engine of culture (ss. 1-56). Routledge.
  • Influencer Marketing Hub. (2025). Influencer marketing benchmark report 2025. https://influencermarketinghub.com/influencer-marketing-benchmark-report
  • Jiang, S. & Li, K. (2025). Another kind of authenticity: The visual simulacra of artificial intelligence. Digital Creativity, 1-17. https://doi.org/10.1080/14626268.2025.2467087
  • Jordan, M. I. & Mitchell, T. M.. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. https://doi.org/10. 1126/science.aaa8415
  • Kamašauskė, S. & Zederevıčıūtė-Pačıauskıenė, S. (2025). Creativity and disinformation in artificial intelligence-driven fashion communication. Creativity Studies, 18(1), 64–78.
  • Kurtdaş, M. Ç. (2018). Jean Baudrilliard'ın simülasyon kuramında kitle iletişim araçları ve toplumsalın sonu. Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11(3), 2012-2023.
  • Li, J. & Ma, Y. (2024). Virtual influencers in advertisements: Examining the role of authenticity and identification. Journal of Interactive Advertising, 24(1), 1-12. https://doi.org/10.1080/15252019.2023.2270478
  • Lou, C., Kiew, S. T. J., Chen, T., Lee, T. Y. M., Ong, J. E. C. & Phua, Z. (2022). Authentically fake? How consumers respond to the influence of virtual influencers. Journal of Advertising, 1–18.
  • Marr, B. (2023, November 30). Generative AI and the future of content creation. Forbes. https://www.forbes.com/sites/bernardmarr/2023/11/30/generative-ai-and-the-future-of-content-creation/
  • McCarthy, J., Minsky, M. L., Rochester, N. & Shannon, C. E. (2006). A proposal for the dartmouth summer research project on artificial ıntelligence, August 31, 1955. AI Magazine, 27(4), 12.
  • Morris, J. (2020). Simulacra in the age of social media: Baudrillard as the prophet of fake news. Journal of Communication Inquiry, 45(4), 319-336. https://doi.org/10.1177/0196859920977154
  • Mrad, M., Ramadan, Z., Tóth, Z., Nasr, L. & Karimi, S. (2025). Virtual influencers versus real connections: Exploring the phenomenon of virtual influencers. Journal of Advertising, 54(1), 1-19. https://doi.org/10.1080/00913367.2024.2393711
  • Miyake, E. (2023). I am a virtual girl from Tokyo: Virtual influencers, digital-orientalism and the (Im)materiality of race and gender. Journal of Consumer Culture, 23(1) 209–228.
  • Önk, Ü. Y. (2009). Baudrillard perspektifindenbir kitle iletişim ve sanat aracı olarak sı̇mülasyon evrenı̇nde televı̇zyon. Selçuk İletişim, 5(4), 201-218.
  • Pak, J., & Lee, K. (2023). Perception of digital restoration and representation of cultural heritage -focusing on simulation and simulacra. International Journal of Contents, 19(3), 71-84. https://doi.org/10.5392/IJoC.2023.19.3.071
  • Peres, R., Schreier, M., Schweidel, D. & Sorescu. A. (2023). On ChatGPT and beyond: How generative artificial ıntelligence may affect research, teaching, and practice. International Journal of Research in Marketing, 40(2), 269–275. https://doi.org/ 10.1016/j.ijresmar.2023.03.001
  • Research and Markets. (2021). Influencer marketing platform market size, share & trends analysis report by application. https://www.researchandmarkets.com/reports/5415530/influencer-marketing-platform-market-size-share?srsltid=AfmBOooOrgRT6jasIq_2TyHhAj5phLSpk8Msyi7tRXmGlUqM9xhWtZsE
  • Rezig, H. & Oulddjaballah, S. (2024). Social media influencers shaping social reality: A study of Jean Baudrillard’s perspective. Aleph, 11(4-2), 27-49.
  • Rodgers, S. (2021). Themed issue introduction: Promises and perils of artificial intelligence and advertising. Journal of Advertising, 50(1), 1–10. https:// doi.org/10.1080/00913367.2020.1868233
  • Singh, K. & Singh, A. V. (2021). Enchantments of selfie-camera: A critical study of hyperreal social media. Dialog, 37, 288-304.
  • Stam, A. (2023). AI will impact at least half of all ad revenue in 2023, GroupM predicts. AdAge. https:// adage.com/article/agency-news/ai-will-impact-least-half- all-ad-revenue-2023-groupm-predicts/2499161
  • Thomas, V. L. & Fowler, K. (2021). Close encounters of the AI kind: Use of AI influencers as brand endorsers. Journal of Advertising, 50(1), 11–25. https://doi.org/10.1080/00913367.2020.1810595
  • van Berlo, Z. M. C., Campbell, C. & Voorveld, H. A. M. (2024). The MADE framework: Best practices for creating effective experimental stimuli using generative AI. Journal of Advertising, 53(5), 732–753. https://doi.org/10.1080/00913367.2024.2397777
  • Vergopoulos, N. & Gourdoukis, M. (2020). Beyond representation: Drawing as a generative field. XXIII Generative Art Conference - GA2020.
  • What’s The Big Data. (2025). AI influencer statistics. https://whatsthebigdata.com/ai-influencer-statistics/ Wu, L., Dodoo, N. A. & Wen, T. J. (2025). Disclosing AI’s involvement in advertising to consumers: A task-dependent perspective. Journal of Advertising, 54(1), 20-38. https://doi.org/10.1080/00913367.2024.2309929
  • Yaylagül, L. (2019). Kitle iletişim kuramları: Egemen ve eleştirel yaklaşımlar. Dipnot Yayınları.
  • Yu, J., Dickinger, A., Fung So, K. K. & Egger, R. (2024). Artificial intelligence-generated virtual influencer: Examining the effects of emotional display on user engagement Journal of Retailing and Consumer Services, 76(2024), 103560.
  • Žižek, S. (2018). Kırılgan temas (T. Birkan, Çev.). Metis Yayınları.
Toplam 59 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Yeni Medya
Bölüm Araştırma Makalesi
Yazarlar

Fatmanur Demir Demiralp 0000-0002-2248-9578

Gönderilme Tarihi 18 Mart 2025
Kabul Tarihi 1 Temmuz 2025
Yayımlanma Tarihi 17 Temmuz 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 70

Kaynak Göster

APA Demir Demiralp, F. (2025). Dijital Reklamcılıkta Simülasyonun İzdüşümü: Üretken Yapay Zeka Etkileyicilerinin Simülakr Olarak İnşası. İletişim Kuram ve Araştırma Dergisi(70), 147-169. https://doi.org/10.47998/ikad.1660670