Faculty of Management Sciences

Permanent URI for this facultyhttps://ir.uat.edu.ng/home/handle/123456789/9

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Author: search.filters.author.Bebenimibo, Paul

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    Journalism in the age of artificial intelligence
    (2026) Bebenimibo, Paul; Guanah, Jammy Seigha
    The emergence of Artificial Intelligence (AI) has significantly transformed the landscape of journalism across the world. Media organisations increasingly rely on AI-powered tools for writing news, data analysis, automated content production, fact-checking, and audience engagement. These technological developments present opportunities for improving newsroom efficiency, enhancing investigative reporting, and strengthening audience interaction. However, they also introduce ethical, professional, and operational challenges, particularly within developing media environments. In Nigeria, where journalism operates within complex political, economic, and technological contexts, the adoption of AI remains an emerging phenomenon that requires systematic scholarly investigation. This study examined the usage and challenges of Artificial Intelligence in journalism practice in Yenagoa, Bayelsa State, Nigeria. The research determined the level of AI usage among media organisations operating within Yenagoa, assessed whether the application of AI enhances data mining and investigative reporting, and identified the major challenges associated with its adoption in journalistic practice. The study was anchored on the Technological Determinism Theory, and adopted a quantitative research design. Data were collected from journalists working in selected media organisations in Yenagoa, and analysed to determine patterns of AI adoption, areas of application in newsroom operations, and the professional concerns surrounding its use. Findings revealed that although awareness of Artificial Intelligence tools is gradually increasing among journalists, the level of institutional adoption in media organisations in Yenagoa remains relatively low. Nevertheless, respondents acknowledge the potential of AI to strengthen data-driven journalism through improved data mining, trend analysis, and investigative reporting. Key challenges identified include inadequate technological infrastructure, limited professional training, ethical concerns, financial constraints, and fears regarding the possible displacement of human journalists.
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    Environmental communication and sustainable environment practice: a study of Ughelli, Delta State, Nigeria
    (2026) Guanah, Jammy Seigha; Bebenimibo, Paul; Aondover, Eric Msughter
    In recent times, debates around climate change have increasingly examined the contributions of both urban- industrial activities and rural/semi-urban environmental practices. However, environmental scholarship em phasises that climate change drivers are multi-scalar and interconnected rather than attributable to a single domain (IPCC, 2014). Against this backdrop, this study investigated the role of environmental communication in promoting sustainable environmental practices among residents of Ughelli, Delta State, Nigeria. The objectives were to determine the level of exposure of Ughelli residents to environmental communication, identify their sources of information, and ascertain the extent to which sustainable practices are adopted. This study integrated Agenda Setting Theory and the Theory of Planned Behaviour (TPB) by linking media exposure to behavioural intention constructs such as attitudes, subjective norms, and perceived behavioural control. A quantitative research method was adopted, and data were analysed using descriptive statistics. Findings revealed that exposure to environmental communication is generally low, with primary sources being public address systems and word-of-mouth communication. Adoption of sustainable practices was also found to be minimal. The study concludes that environmental communication effectiveness is constrained by socio-economic, cultural, and infrastructural factors. The findings are exploratory and indicative due to the descriptive design and single-case focus. Recommendations emphasise context-specific communication strategies, stakeholder engagement, and resource-sensitive interventions.