SUN’IY INTELLEKT YARATGAN KONTENTLARDA ISHONCH QANDAY SHAKLLANADI? NEYROMARKETING VA MEDIAETIK NUQTAI NAZARDAN TAHLIL
Keywords:
sun’iy intellekt, neyromarketing, mediaetika, AI kontent, ishonch, auditoriya reaksiyasi, jurnalistika.Abstract
So‘nggi yillarda sun’iy intellekt (AI) texnologiyalari matn, tasvir, ovoz va video kontentlarni inson ishtirokisiz yaratish imkonini berdi. Bu esa axborot makonida kontent iste’molchilari uchun yangi muammolarni yuzaga keltirmoqda, xususan, bunday kontentlarga bo‘lgan ishonch darajasi tobora muhim omilga aylanmoqda. Ushbu maqola sun’iy intellekt yordamida yaratilgan kontentlarga auditoriya tomonidan bildiradigan ishonchning shakllanish mexanizmlarini neyromarketing va mediaetika prizmasida tahlil qiladi. Tadqiqotda nazariy adabiyotlar tahlili, qiyosiy kontent tahlili va ilgari o‘tkazilgan eksperimentlar natijalaridan foydalanildi. Xususan, inson miyasi ishonchni qanday neyropsixologik asosda shakllantirishi va AI kontent qanday sharoitda ishonchli qabul qilinishini o‘rganildi. Shu bilan birga, AI vositalar yordamida yaratilgan axborotning mediaetik jihatlari ham baholandi. Tadqiqot natijalariga ko‘ra, AI kontent auditoriyada ishonch uyg‘otishi mumkin, ammo bu jarayonning axloqiy va professional chegaralari aniqlashtirilishi zarur.
References
1. Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
2. Zak, P. J. (2017). Trust factor: The science of creating high-performance companies. AMACOM.
3. Damasio, A. (1994). Descartes’ error: Emotion, reason, and the human brain. Avon Books.
4. Chatterjee, A., & Huang, J. (2020). Artificial intelligence and ethics in journalism: A case study. Journalism & Mass Communication Quarterly, 97(3), 560–576.
5. Yilmaz, H. (2023). Neuromarketing strategies in digital content production. Journal of Consumer Behavior Studies, 15(2), 112–129.
6. Nguyen, A., & McIlroy, T. (2021). Journalism in the age of AI: Automation, algorithmic bias and ethical dilemmas. Digital Journalism, 9(2), 256–273.
7. Allyn, B., & Torres, R. (2022). Cognitive trust and deepfake technology: How perceived authenticity impacts message credibility. Media Psychology, 25(1), 44–61.
8. Smidts, A., Hsu, M., Sanfey, A. G., Boksem, M. A., & Huettel, S. A. (2014). Advancing consumer neuroscience. Marketing Letters, 25(3), 257–267.
9. Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).
10. Tandoc, E. C., & Maitra, J. (2022). Generative AI in newsrooms: Challenges and opportunities. Digital Journalism, 10(5), 642–660.
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