Constructing the Role of AI in News Production: A Cross-Cultural Analysis of Journalists’ Perceptions in Reporting Higher Education News in Malaysia and China

Citation

Yinglei, He and Nik Hasan, Nik Norma (2026) Constructing the Role of AI in News Production: A Cross-Cultural Analysis of Journalists’ Perceptions in Reporting Higher Education News in Malaysia and China. Journal of Communication, Language and Culture, 6 (1). pp. 209-229. ISSN 2805-444X

[img] Text
hairulanuar,+12_1984-Other-23549-1-9-20260107+Final+30+Jan.pdf - Published Version
Restricted to Repository staff only

Download (472kB)

Abstract

Implementing artificial intelligence in news publishing implies criticism of the professional status and editorial control of journalists. This study comparatively analyses how news professionals at higher education institutions (HEIs) in Malaysia and China view the role of AI in news production, grounded in social constructivist and university social responsibility perspectives. The study reports a semi-passive pattern of AI incorporation exemplified by selective professional strategic prominence and professional boundary control through semi-structured, designed interviews of 16 journalists in The Star and China Daily. The results indicate that journalists across cultures share a professional identity as powerful players in AI use. In the context of university social responsibility, journalists in HEIs portray a more imposing AI boundary than mainstream media because of accuracy and multi-stakeholder requirements. These lessons have informed sustainable AI integration plans that will ensure that journalism maintains a high degree of integrity while ensuring efficiency.

Item Type: Article
Uncontrolled Keywords: journalism, technology integration, social constructivist perspective, cross-cultural understanding, university social responsibility theory
Subjects: L Education > LB Theory and practice of education > LB2300-2430 Higher education
Divisions: Others
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 08 Jul 2026 05:37
Last Modified: 08 Jul 2026 05:37
URII: http://shdl.mmu.edu.my/id/eprint/16243

Downloads

Downloads per month over past year

View ItemEdit (login required)