Artificial Intelligence–Driven News and Public Trust: Examining the Relationship Between Automation and Engagement Production
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Abstract
This study aims to analyze the impact of AI automation in news production on public trust and engagement, as well as explore public perceptions of ethics and transparency in the use of AI in the media sector. The research is based on the increasing use of AI in journalism, which has sparked various public reactions concerning ethical and transparency issues. The research method employed is multiple regression, with the population consisting of Yogyakarta residents who consume AI-generated news. The sample comprises 222 respondents selected through Simple Random Sampling. The results indicate that AI automation positively impacts public trust, with a coefficient of 0.185, a t-value of 2.290, and a significance of 0.023. Conversely, transparency negatively affects public trust, with a coefficient of -0.559, a t-value of -3.512, and a significance of 0.001. Ethics positively and significantly influence public trust, with a coefficient of 0.394, a t-value of 2.526, and a significance of 0.012. These findings underscore the importance of implementing robust ethical practices in the use of AI to maintain public trust.
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