Abstract
The evolution of artificial intelligence (AI) in journalism has significantly transformed news production, distribution, and delivery. This study aimed to investigate the usefulness of AI in enhancing the efficiency of news delivery among journalists in Klang Valley, Malaysia. Using a quantitative approach, data was collected through a purposive sampling method involving 38 journalists from diverse media outlets, including newspapers, television broadcasters, and online news portals. The survey instrument, structured into four sections, assessed demographic details, perceived usefulness of AI, news delivery efficiency, and the relationship between the two variables. The data was analysed using SPSS, employing descriptive statistics and correlation analysis. The results revealed a strong positive correlation (r = .875, p < .001), indicating that journalists who perceive AI as highly useful report greater efficiency in their workflows. This study contributes to the growing body of research on AI integration in journalism by highlighting the potential of AI tools to enhance productivity, improve workflow efficiency, and support investigative reporting. The findings emphasize the need for ongoing training and ethical guidelines to ensure responsible AI adoption. Future research should focus on larger sample sizes, longitudinal studies, and the ethical dimensions of AI to provide deeper insights into its long-term impact on journalism practices.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Sarji, Nurul Atikah UNSPECIFIED Abdul Aziz, Ahlam UNSPECIFIED |
| Subjects: | P Language and Literature > PN Literature (General) > Journalism. The periodical press, etc. Press T Technology > T Technology (General) > Information technology. Information systems > Malaysia |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Communication and Media Studies > Centre for Media and Information Warfare Studies (CMIWS) |
| Journal or Publication Title: | Journal of Media and Information Warfare (JMIW) |
| UiTM Journal Collections: | UiTM Journals > Journal of Media and Information Warfare (JMIW) |
| ISSN: | 2821-3394 |
| Volume: | 18 |
| Number: | 1 |
| Page Range: | pp. 28-40 |
| Keywords: | Artificial Intelligence (AI), News, Journalist, Journalism, News Delivery, Newspaper |
| Date: | 30 April 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/137535 |
