Ilham Albar Pane
Universitas Pamulang Jakarta

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Konstruksi Kepercayaan Generasi Z terhadap Konten Visual Berbasis Generative AI di Media Sosial Agnita Ayucendika Damanik; Ilham Albar Pane
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4220

Abstract

The development of Generative Artificial Intelligence (Generative AI) technology has brought about significant changes in the production and distribution of visual content on social media. AI's ability to generate increasingly realistic images and videos raises new issues regarding authenticity, credibility, and audience trust—particularly among Generation Z, a demographic that uses social media intensively. This study aims to analyze how Generation Z constructs trust in Generative AI-based visual content on social media and to identify the factors influencing this trust-formation process. A qualitative approach utilizing a descriptive method was employed. Data were gathered through semi-structured interviews with Generation Z informants who are active social media users and have experience encountering or interacting with AI-generated visual content. The data were analyzed through the stages of data reduction, data presentation, and interpretive conclusion drawing. The findings are expected to demonstrate that Generation Z's trust in Generative AI-based visual content is not formed solely based on visual quality, but rather through an evaluation process involving source credibility, creator reputation, transparency regarding AI usage, digital experience, verification capabilities, and digital literacy levels. This research contributes to an understanding of the dynamics of young audience trust amidst the rising use of AI technology in digital communication.