Browsing by Author "Mohammed, Naqiba Husseina"

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    Factors Influencing the Adoption of Artificial Intelligence Powered Factchecking Chatbots among Internet Users in Ilorin Metropolis
    (2026-09) Mohammed, Naqiba Husseina; Shaibu Agnes Joe
    This study examined the factors influencing the adoption of artificial intelligence powered fact-checking chatbots among internet users in Ilorin metropolis, Kwara State, Nigeria, applying the Unified Theory of Acceptance and Use of Technology to identify what drives trust in and adoption of these tools. A quantitative survey design was adopted and structured questionnaire built around a four-point Likert scale was administered to 400 respondents but later reduced to 399 internet users due to invalid data. Respondents were selected through purposive and convenience sampling. Data were analysed using correlation and regression techniques in SPSS version 27. Four hypotheses were tested individually and were all rejected, confirming that trust, performance expectancy, social influence and effort expectancy each significantly predict adoption. When the four constructs were combined in a single regression model, however, only performance expectancy and social influence retained significant, independent effects on both trust and adoption, while effort expectancy and facilitating conditions fell away, with performance expectancy emerging as the strongest predictor overall. The study concluded that usefulness and social endorsement, rather than ease of use or infrastructure alone, are what most strongly drive adoption of these tools in this context. It recommended that developers prioritise transparent, demonstrable accuracy in chatbot design, that factchecking organisations invest in building social visibility for their tools, and that future studies test the trust-adoption relationship as a formal mediation model using data collected across a wider geographic area.