Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal ESENSIA: Jurnal Ilmu-Ilmu Ushuluddin
Fitri Murfianti
Leiden University, The Netherlands
Religion Humanities Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sacred Symbols, Synthetic Lies: The Hijacking of Religious Authority in AI-Generated Religious Disinformation in Indonesia Nuril Hidayah; Fitri Murfianti; Finsensius Yuli Purnama; Nur Fadhilah
ESENSIA: Jurnal Ilmu-Ilmu Ushuluddin Vol. 27 No. 1 (2026)
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/esensia.v27i1.7344

Abstract

This study examines how generative artificial intelligence (AI) reshapes religious disinformation by disrupting the epistemological foundations of religious authority. Focusing on Indonesia and employing qualitative content analysis, the research analyzes AI-generated artifacts that simulate clerical voices, fabricate sacred symbols, and construct emotionally resonant narratives about the umma. Drawing on the framework of the epistemology of religious authority, the study explores how these artifacts challenge traditional mechanisms of verification, particularly within Islamic epistemology. This study contributes to the existing literature by demonstrating that AI not only disseminates misleading content but also reconfigures the ways in which religious truth is recognized. It does so by separating technical precision from moral accountability, producing sanad-less knowledge, and transforming sacred symbols into self-contained representations. While religious traditions possess epistemological tools such as isnād and tabayyun, their application becomes increasingly complex in AI-mediated environments where authority is no longer easily traceable. The study suggests that these tools remain relevant but require reinterpretation and adaptation. However, epistemological responses alone may be insufficient to address the affective dimension of AI-generated content, particularly regarding synthetic comfort.
Co-Authors Finsensius Yuli Purnama Nur Fadhilah Nuril Hidayah