Journal of Social Science
Vol 5 No 2 (2026): Journal of Social Science

Acceptance of AI in Journalism: A Tam Model Study on Digital Newsrooms in Indonesia

Dedi Prasetia (Universitas Indonesia)
Bayu Tresna Riyadi (Universitas Indonesia)
Irwansyah Irwansyah (Universitas Indonesia)



Article Info

Publish Date
27 Feb 2026

Abstract

The rapid development of artificial intelligence (AI) has accelerated the transformation of the global media industry, including the journalism ecosystem in Indonesia. AI integration into newsrooms has brought significant changes to news production, editing, and distribution, raising important questions about how journalists perceive and adopt this technology in their professional practice. This research explores the acceptance and use of artificial intelligence (AI) in journalistic practice by Indonesian journalists, using the Technology Acceptance Model (TAM) framework, which focuses on two constructs: perceived usefulness (PU) and perceived ease of use (PEOU). This study employs a qualitative descriptive approach with an intrinsic case study strategy to gain an in-depth understanding of journalists' experiences and perceptions. Data were collected through semi-structured, in-depth interviews with three digital news journalists who have used AI in their work processes, selected through purposive sampling. The interview data were analyzed using open, axial, and selective coding techniques to identify emerging themes and patterns. The study finds that AI is perceived as useful in accelerating editorial processes, text editing, and supporting SEO-based content production. AI is also considered relatively easy to learn, particularly through trial and error and peer assistance. However, AI adoption remains mediated by professional ethics, originality, and editorial autonomy. The findings indicate that AI integration in digital newsrooms involves not only technical efficiency but also social negotiation between productivity, ethics, and professional identity. This research contributes to the field of communication technology studies and offers practical implications for media management and editorial policy in age of automation.

Copyrights © 2026






Journal Info

Abbrev

js

Publisher

Subject

Social Sciences

Description

The Journal of Social Science (JoSS) is a double blind peer-reviewed academic journal and open access to social and scientific fields. The journal is published monthly once by Al-Makki Publisher. The Journal of Social Science (JoSS) provides a means for sustained discussion of relevant issues that ...