İnsan ve Yapay Zekâ Influencer'larda hata üstlenme biçiminin tüketici tepkilerine etkisi
Yayınlanmış 25.09.2026
Anahtar Kelimeler
- AI Influencers, Error Acknowledgment, Parasocial Interaction
- Yapay Zekâ İnfluencer'lar, Hata Üstlenme, Parasosyal Etkileşim
Nasıl Atıf Yapılır
Telif Hakkı (c) 2026 Selçuk Yasin Yıldız

Bu çalışma Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License ile lisanslanmıştır.
Nasıl Atıf Yapılır
Öz
İnsan ve yapay zekâ (AI) influencer'lar ürün tavsiyelerini giderek daha yaygın biçimde paylaşmaktadır; ancak bu aktörlerin bir bilgi hatasına verdikleri yanıt karşısında tüketicilerin nasıl tepki verdiği belirsizliğini korumaktadır. Bu çalışma, hatanın sorumluluğunu üstlenmenin, hatayı reddetmeye kıyasla, insan ve yapay zekâ influencer'lar için farklı tüketici tepkileri üretip üretmediğini incelemektedir. 496 sosyal medya kullanıcısıyla 2 (influencer tipi: insan vs. AI) × 2 (hata yanıtı: üstlenme vs. reddetme) gruplar arası senaryo deneyi yürütülmüştür. Veriler MANOVA, ANOVA ve 5.000 bootstrap örneklemli düzenlenmiş seri aracılık analizleriyle çözümlenmiştir. Hata üstlenme her iki influencer tipinde de algılanan samimiyeti, parasosyal etkileşimi, güveni ve satın alma niyetini artırmış; ancak etkiler insan influencer'larda belirgin biçimde daha güçlü çıkmıştır. Algılanan yetkinlikte çaprazlama etkileşim gözlenmiştir: Üstlenme insan influencer'ın yetkinliğini artırırken yapay zekâ influencer'ın yetkinliğini düşürmüştür. Güven ve satın alma niyeti üzerindeki dolaylı etkiler ağırlıklı olarak samimiyet üzerinden işlerken, yetkinlik cezası davranışsal niyetlere yalnızca parasosyal etkileşim aracılığıyla seri biçimde ulaşmıştır. Bulgular, pratfall etkisinin sınır koşullarını belirlemekte ve yapay zekâ şeffaflığının yetkinlik maliyetini ortaya koymaktadır.
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