FKJOLIS

Information Literacy on Fake-News Detection among Postgraduate Students across Selected Universities in Ekiti State, Nigeria

Wed, 11 Feb 2026 00:00:00 +0000

This study examined how information literacy skills influence the ability of postgraduate students across selected universities in Ekiti-State, Nigeria, to detect fake news. In the light of the increasing spread of misinformation online, the study assessed how postgraduate students engage with digital literacy. The study adopted a survey research design, collecting data from 363 postgraduate students through structured questionnaires which were analyzed using frequency counts, percentage, mean scores, and inferential statistical techniques. Findings revealed a high level of fake news detection among the respondents, indicating their competence in identifying misleading or false information across digital. Postgraduate Students demonstrated strong ability to cross-check sources, use fact-checking tools, apply critical thinking, and recognize the societal impact of fake news. The study revealed there is a significant positive relationship between information literacy and fake news detection literacy (r = 0.399**, P < 0.05) digital literacy digital skills (r = 0.149**, P < 0.05), the study also revealed a significant positive relationship between digital skills and fake news detection, thereby indicating that information literacy and digital skills enhances the ability to identify misinformation. The study concludes that information literacy, digital skills and fake news detection recommends embedding structured media programs into postgraduate curricula.

Ethical Behaviour and Use of Online Information Resources by Undergraduates in Two Selected Universities in Oyo State, Nigeria

Victoria Olubola Fadeyi — Wed, 11 Feb 2026 00:00:00 +0000

This study investigated ethical behavior and use of online information resources (OIR) among undergraduates of University of Ibadan and Lead City University, Nigeria. Descriptive correlational survey research design was employed. The population of the study was 18,464 undergraduates, from which a sample of 292 students was taken using a two-stage random sampling technique representing four percent of undergraduates randomly selected from each faculty in both universities. Data were collected using questionnaire. The data collected were analysed using descriptive (frequency, percentage and mean) and inferential (Pearson Product Moment Correlation) statistics. The findings revealed that OIR were highly used for both academic and non-academic purposes among undergraduates, with Google (x? = 3.72), and online journals (x? = 3.56) ranking highest. High ethical practices among the undergraduates include providing proper credit to the original authors (x? = 3.55), respecting copyright policies (x? = 3.47), and verifying correctness of information (x? = 3.24). Ethical behavior was positively correlated with the employment of OIR. Top challenges highlighted are expensive internet services and inadequate infrastructure. Universities are encouraged to provide relevant trainings on digital research ethics to facilitate effective utilisation of OIR.

User Behaviour towards the Use of Library Mobile Applications in Universities in Ekiti State, Nigeria

Temitope Olalekan Ajila, Elijah Babatunde Ajayi, Oludayo Stephen Babalola — Wed, 11 Feb 2026 00:00:00 +0000

This study examines the behavioural patterns, frequency of use, and determinants of how university students in Ekiti State, Nigeria, interact with library mobile applications. The study investigated how often users access mobile library applications, the primary purposes of use, and the factors influencing their usage decisions. The study adopted a survey research design, collecting data from 418 students through structured questionnaires which were analyzed using frequency counts, percentage, mean scores, and inferential statistical techniques. Findings reveal that respondents use mobile library applications at least three times per week, with information retrieval and catalogue search. The study revealed there is a significant positive relationship between users’ behavior with mobile library application services (r = 0.206, N = 418, P < 0.05), indicating a positive relationship between user behavior and service utilization. The study also found that users reported using mobile library apps only occasionally due to limited awareness of features and low digital literacy levels. The findings suggest that enhancing user training, promoting advanced features, and improving mobile interface design may increase mobile library application engagement and user satisfaction among university users.

Reimagining Academic Librarianship in Nigeria during the Age of Generative Artificial Intelligence: Ethical, Professional and Policy Implications

Ayodele Oluwafemi Akinola — Wed, 11 Feb 2026 00:00:00 +0000

Generative artificial intelligence is rapidly transforming higher education, with profound implications for academic libraries in developing nations like Nigeria. This study explored the ethical, professional, and policy aspects of AI adoption in Nigerian academic libraries, where digital demands meet infrastructural and governance limitations. Drawing on literature, professional standards, and international ethical frameworks, the study positioned academic librarians as key facilitators for responsible AI integration in teaching, research, and scholarly communication. It identifies ethical concerns (academic integrity, algorithmic bias, data privacy, intellectual property) and professional challenges (AI literacy gaps, digital pedagogy). The study noted the absence of coherent AI policies in Nigerian higher education. To address this, a conceptual framework for AI-empowered academic librarianship was proposed, emphasizing ethical values, professionalism, and governance. A core recommendation is mandatory AI literacy education for librarians, with institutional policies defining permissible usage and accountability. This framework offers a contextual, transferable model for responsible AI adoption in resource-constrained academic libraries, promoting equitable scholarly AI practices.