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Artificial Intelligence and the Redefinitionof Information Production andDissemination

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  • Hamzah Hasyim

    (Universitas Sriwijaya - Indonesia)

Abstract

This study examines how artificial intelligence redefines the production and dissemination of information in contemporary journalism. Employing a qualitative multiple case study design, data were collected through semi-structured interviews with 15 professionals, non-participant observation in three media organizations, and documentary analysis of institutional protocols. Thematic analysis revealed three principal findings: AI generates between 35% and 50% of routine content, shifting professional roles from creation to curation; persistent tensions exist between efficiency gains and ethical accountability; and algorithmic opacity challenges democratic transparency and public trust. The study concludes that while AI enhances productive capacity, its integration demands robust governance frameworks that safeguard journalistic values. Theoretical contributions include refined understandings of professional reconfiguration, while practical implications emphasize the need for transparency protocols and professional training.

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Handle: RePEc:gdc:gdccmm:v:3:y:2026:id:15
DOI: 10.65835/gdcc.2026.3.15
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