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Generative artificial intelligence and the transformation of newsroom practices in Kenya: A mixed-methods study of professional and training newsrooms

“The rapid diffusion of generative artificial intelligence (GenAI) is transforming newsroom practices globally, yet empirical evidence from African media contexts remains limited. This study examines how GenAI is reshaping newsroom workflows, professional roles, and ethical practices in Kenya through a convergent mixed-methods case study of a hybrid professional–training newsroom. Quantitative data were collected using a structured survey administered to newsroom professionals and journalism students on attachment, complemented by qualitative insights from semi-structured interviews. Data from both strands were analysed separately and integrated at the interpretation stage. Findings indicate that GenAI is primarily used as an assistive technology to support routine and time-intensive tasks such as transcription, summarization, and content preparation, resulting in perceived improvements in workflow efficiency. Human editorial judgment, verification, and accountability remain central to news production. Differences emerged between professionals and students, with students displaying greater experimentation with AI tools, underscoring the importance of institutional mentorship and governance. Persistent ethical concerns related to accuracy, bias, transparency, and data governance highlight the need for formal newsroom policies and human-in-the-loop oversight. The study contributes context-specific insights from the Global South and informs newsroom governance, journalism education, and policy development.” (Abstract)