Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Journal of Social Science Asian Journal of Social and Humanities
Dedi Prasetia
Universitas Indonesia
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Acceptance of AI in Journalism: A Tam Model Study on Digital Newsrooms in Indonesia Dedi Prasetia; Bayu Tresna Riyadi; Irwansyah Irwansyah
Journal Of Social Science (JoSS) Vol 5 No 2 (2026): Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/315v3w84

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.
AI, Communication and Society: TAM Based Systematic Literature Review Bayu Tresna Riyadi; Dedi Prasetia; Irwansyah Irwansyah
Journal Of Social Science (JoSS) Vol 5 No 3 (2026): Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/acadak75

Abstract

The rapid development of artificial intelligence (AI) has significantly transformed communication processes and social interaction in the digital era. AI technologies, such as chatbots, recommendation systems, and automated content generation, are increasingly integrated into various sectors, including education, healthcare, e-commerce, and public services. The Technology Acceptance Model (TAM) is widely used to explain technology adoption through key constructs such as perceived usefulness and perceived ease of use. This study aims to analyze research trends, contexts, and theoretical developments related to AI acceptance in communication using the TAM framework. The research employed a Systematic Literature Review (SLR) method. Articles were collected from the Scopus database using the keywords “Technology Acceptance Model,” “Artificial Intelligence,” and “Communication.” Based on the PRISMA screening and selection process, 32 relevant peer-reviewed journal articles published between 2018 and 2024 were included in the analysis. The findings show that quantitative approaches dominate AI acceptance studies, particularly those using survey methods and structural equation modeling. Research contexts are mainly concentrated in education and healthcare, while studies in journalism, social media communication, and organizational communication remain limited. The analysis also reveals that TAM is frequently combined with other theories, such as Diffusion of Innovations and Uses and Gratifications Theory, to better explain technology adoption. In conclusion, the Technology Acceptance Model remains a relevant framework for understanding AI adoption in communication contexts. However, future research should expand theoretical perspectives and methodological approaches while incorporating social values such as inclusivity, ethics, and sustainability within the Society 5.0 framework.
The Transformation of News Editors After the Use of Artificial Intelligence (AI) Technology Ana Noviani; Agnes Yusuf; Dedi Prasetia; Siti Retno Wulandari
Asian Journal of Social and Humanities Vol. 4 No. 5 (2026): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v4i5.681

Abstract

This research explores the use of artificial intelligence (AI) technology in newsroom environments and its impact on the behavioral changes of journalists, particularly at the news editor level. The adoption of generative AI in mass media continues to grow in line with the rapid advancement of digital technology globally. The application of AI in journalistic work—such as news gathering, writing, editing, and distribution—has had significant effects on media professionals. This research aims to examine in depth news editors' perspectives on the use of AI in the newsroom and the behavioral transformations that result from it. The study adopts an interpretive paradigm, with a qualitative approach and Interpretative Phenomenological Analysis (IPA) as its research strategy. It uses concepts from technological determinism, diffusion of innovations theory, and journalistic ethics as analytical tools to better understand the phenomena experienced by the research participants. The findings reveal three key aspects of transformation among news editors following the integration of AI in newsroom practices: changes in work routines, the meaning attributed to AI in journalism, and the evolving competencies of news editors. AI technology is viewed as a supporting tool rather than a replacement for news editors. While technical functions such as writing SEO-based articles, checking language structure, and conducting issue research can be performed by AI, editorial decisions and final editing remain the responsibility of human editors. In conclusion, the study highlights news editors' responses and interpretations of AI use, with their transformation marked by increased work efficiency.
Co-Authors Agnes Yusuf Ana Noviani Bayu Tresna Riyadi Irwansyah, Irwansyah Siti Retno Wulandari