PERCEIVED INFLUENCE OF ARTIFICIAL INTELLIGENCE NEWS SCHEDULING ON OKIN FM IN KWARA STATE

Abstract

This study examines the perceived influence of artificial intelligence news scheduling on Okin FM in Kwara State. The adoption of automated news scheduling has transformed the way news is disseminated, raising questions about its impact on the broadcast industry. This research investigates the effects of automated news scheduling on news content, broadcast quality, and listener engagement at Okin FM. The findings reveal both positive and negative impacts, including increased efficiency, consistency, and reduced labor costs, as well as concerns about homogenization, lack of personal touch, and potential job losses. The study concludes by discussing the implications of artificial intelligence news scheduling for the broadcast industry and offering recommendations for Okin FM to maximize its benefits while mitigating its drawbacks. Three research questions were designed t0 proffer answers to objectives formulated. The study adopted the Innovation-Diffusion theory. In-depth interview guide was used. The study used in-depth interview guide as its data collection instruments from the program producer of the station. It explores the benefits and challenges of automation, including increased efficiency and consistency, as well as concerns about homogenization and job losses. The results shed light on how automation affects broadcast media and provide Okin FM advice on how to optimize advantages and minimize disadvantages. This helps to clarify how media automation is changing the radio landscape in Nigeria.