Abstract
This study examines the application of Artificial Intelligence (AI) in streamlining content review and approval processes at TVC News, Lagos State, with a focus on improving editorial efficiency and enhancing content accuracy. This study was grounded in the Technology Acceptance Model (TAM). The population comprised all 53 editorial staff members of TVC News, Lagos State, including editors, producers, reporters, and content reviewers who are directly or indirectly involved in the content review and approval process. The primary instrument for data collection was a structured questionnaire on a five-Likert scale. Data were analysed using descriptive statistics, specifically, frequency counts and percentages to summarise responses. Findings from the study revealed that the integration of artificial intelligence (AI) tools in TVC News’ content review and approval workflows has had a generally positive impact on editorial efficiency, accuracy, collaboration, and workflow optimization. The study concluded that the integration of artificial intelligence (AI) tools in TVC News’ content review and approval processes has significantly enhanced editorial efficiency, accuracy, and collaboration among newsroom staff. Based on these findings, it is recommended that TVC News should implement regular training and capacity-building programs to improve staff competence in using AI tools effectively.
Keywords: Artificial Intelligence, Optimisation of TV Content Review, Approval Processes, Editorial Efficiency, Accuracy