AI-driven journalism: Examining the impact on news credibility and public trust in The Star

Helmi Nafiz, Lee (2025) AI-driven journalism: Examining the impact on news credibility and public trust in The Star. Final Year Project, UTAR.

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Abstract

This study explores the impact of Artificial Intelligence (AI) on news credibility and public trust in The Star, a prominent Malaysian news outlet. As AI tools are increasingly employed in journalism for content creation, data analysis, and audience engagement, this research investigates their influence on the reliability of news. Employing content analysis, surveys, and interviews, the study compares AI-generated articles with human-written content to evaluate accuracy, tone, and transparency. Findings reveal that while AI enhances efficiency, public perceptions of credibility hinge on transparency and editorial oversight. Ethical concerns, such as algorithmic bias and accountability, also significantly affect trust. By addressing these challenges, the research underscores the need for responsible AI integration and clear communication strategies in journalism to maintain public confidence. This study contributes to the discourse on AI ethics in media, offering insights for news organizations and policymakers navigating this evolving landscape.

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