Undergraduate Project (UG)

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    ARTIFICIAL INTELLIGENCE FOR POST-PANDEMIC ASSESSMENT OF COVID- 19 VACCINATION UPTAKES IN SELECTED UNIVERSITIES IN KWARA STATE
    (2024) ABDULHAMID, Khadijah Aliyu
    Vaccination is aimed at averting the spread of COVID-19, but complications like vaccine hesitancy and resistance continue to arise, particularly in low-middle-income countries (LMIC) like Nigeria. This study examines factors contributing to vaccine hesitancy and the effectiveness of various communication strategies intended to promote vaccination. Through questionnaires distributed across four institutions in Kwara state, 201 participants were recruited. Most of the responded were between age 26-40 years where 95% were students, thus emphasizing the focus of the study on the student population. A smaller proportion consists of lecturers (3%) and non-teaching staff (2%). Females accounted for 58.2% while males had 41.8% of the population, indicating a relatively balanced gender representation within the study. The survey showed that only 42.7% received the COVID-19 vaccine, of these vaccinated participants, 53.4% received up to the second dose. While only 10.5% of participants had been fully immunized (AstraZeneca, Moderna, Pfizer-BioNTech, Johnson and Johnson). The most recurrent factors affecting the uptake of the COVID-19 vaccine among vaccine recipients were Friends and families (58.1%), Social media (5.1%), Personal decision (34.9%), Work (5.8%), The study found that the p-value, for significance regarding the factors influencing vaccination uptake is below 0.05. This suggests that the connections between the variables examined (like awareness, perception, and readiness to get the COVID-19 vaccine) and vaccination uptake are statistically significant, at a 5% level of significance. In addition, a predictive model was created with the help of machine learning techniques to predict vaccination trends, with precision pinpointing specific areas that require focused interventions. The research highlights the importance of public education and the promising role that artificial intelligence can play in improving vaccination strategies and overall public health results.
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    REFLECTIONS ON POLICE BRUTALITY AND HUMAN RIGHTS ABUSE IN NIGERIA: A STUDY OF ENDSARS PROTEST IN LAGOS
    (2021) EKUNDAYO LATEEFAH DAMILOLA
    This study examined the influence of artificial influence on Journalists’ job security in Osun State with a view to determining the integration of AI into journalism production processes, and how it raises concerns about the future of journalists in Osun State. The objectives of the study were to; (i) to determine the extent of adoption of artificial intelligence tools for news generation among journalists in Osun State, (ii) to examine the perceived impact of artificial intelligence integration in journalism on job security of journalists in Osun State, (iii) to determine the challenges and opportunities posed by artificial intelligence tools to the traditional roles of journalists in Osun State, (iv) to determine the strategies for journalists to adapt to the changing landscape of artificial intelligence technology while maintaining job security in Osun State, and (v) to determine the attitudes of journalists towards artificial intelligence advancements and its implications for job security in Osun State. The study made use of the survey research method. Two hundred and forty-five members of the Nigerian Union of Journalists, Osun State chapter constituted the population of the study, while the sample size was also Two hundred and forty-six (246) members of the Nigerian Union of Journalists, Osun State using the census sample size. Copies of questionnaire were used to collect data which was analyzed with statistical methods indicating frequency, percentages, mean and standard deviation. The study found that Osun State journalists are very aware of the adoption of artificial intelligence tools for news generation. Also, Osun State journalists agreed that the integration of artificial intelligence will have a negative impact on their job security. In addition, the study found out that however, Osun State journalists are willing to adapt to artificial intelligence tools for journalistic practice in order to keep their jobs. The study, therefore, recommends that; Given the high level of awareness among journalists about AI tools, it is essential to provide comprehensive training programs on practical skills for using AI in journalism, including data analysis, automated content generation, and multimedia production, also to address concerns about job security, media organizations should promote a positive narrative around AI integration.
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    USING ARTIFICIAL INTELLIGENCE IN ANALYZING PREVALENCE NEWS FRAME IN NIGERIAN 2022 POLITICAL ELECTION CAMPAIGN
    (2023) SALAUDEEN HABEEBAH
    The study examined the use of Artificial Intelligence in analyzing prevalence news frame in Nigerian 2022 political election campaign with a view to determining the elements of frames and directions of reportage used in the Punch, Guardian and Nation newspapers. The objectives of the study are to (i) To determine the direction of news frame of 2022 political election using artificial intelligence (ii) To investigate the prominence of news frame of 2022 political election campaign through artificial intelligence (iii) To investigate the prevalence news frame of 2022 political election campaign through artificial. Content analysis will be adopted. For content analysis approach, the population involved all Nigerian newspapers. Purposive sampling technique was used to select three newspapers: Punch, Guardian and the Nation. This study will use a cross-sectional design to analyze the prevalence of news frames in Nigerian 2022 political election campaigns using artificial intelligence. Quantitative Content Analysis will be used to examine and analyze the news articles published by Punch, Guardian and Nation newspapers during the period of October 1st, 2022, to December 31st, 2022. The sample size will be 159, which was calculated using the Krejcie & Morgan formula. Coding sheets and coding guides will be used to collect and analyze the data. Statistical methods will be used to analyze the data and generate frequency and percentage tables.
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    Using Artificial Intelligence Tools for News Dissemination among Journalists in Kwara State
    (2024) IMAM, Yusuf Olanrewaju
    This study explores the integration of artificial intelligence (AI) tools in journalism, focusing on their adoption and impact on news dissemination practices among journalists in Ilorin, Kwara State, Nigeria. The research aims to achieve three primary objectives: (i) to assess the level of awareness of AI-based tools among journalists, (ii) to examine the patterns of their usage in news gathering and dissemination, and (iii) to evaluate the ethical considerations and compliance associated with these technologies. Utilizing a cross-sectional research design, data were collected from a diverse sample of one hundred and thirty-five (135) journalists through simple random sampling, facilitating a comprehensive analysis of the current landscape of AI in journalism. The findings provide valuable insights into the opportunities and challenges presented by AI technologies, emphasizing the need for enhanced training and ethical guidelines to navigate the complexities of this rapidly evolving field. This study contributes to the broader discourse on the role of technology in shaping media practices and the implications for journalistic integrity and accountability.