| Abstract: |
The rapid evolution of artificial intelligence (AI) and machine learning (ML) has introduced profound transformations in global journalism, reshaping how news is gathered, processed, and disseminated. While advanced media systems in developed countries have integrated AI-driven tools for automation, personalization, verification, and data-driven reporting, the Nigerian media landscape remains at an early stage of adoption. This study investigates Future of Journalism: An Exploration of Artificial Intelligence and Machine Learning in Newsrooms, focusing specifically on journalists in Ebonyi State, Nigeria. Guided by the Diffusion of Innovations Theory and Technological Determinism Theory, the study examines journalists' awareness, understanding, and usage of AI and ML tools, as well as the perceived benefits and opportunities these technologies present for journalistic practice. A descriptive survey design was employed, and structured questionnaires were purposively administered to 180 journalists drawn from the Nigerian Union of Journalists (NUJ) and the Radio, Television and Theatre Arts Workers Union of Nigeria (RATTAWU) in Ebonyi State. The study achieved a 100% response rate. Findings reveal that although awareness of AI and ML is relatively high, practical understanding and application remain limited. Journalists primarily rely on basic digital tools, while advanced AI-driven applications such as automated news writing, predictive analytics, and algorithmic content curation are underutilized. Key barriers include infrastructural deficits, limited training, inadequate investment in digital innovation, and concerns about job displacement. The study concludes that Nigerian journalists are in the early stages of AI adoption, requiring targeted capacity building, improved technological infrastructure, and supportive policy frameworks to accelerate responsible integration. Recommendations include strategic collaborations between media houses and technology firms, curriculum reforms in journalism education, and the development of ethical guidelines to ensure transparency, accountability, and the preservation of journalistic values in an AI-driven future. |
