Browsing by Author "SALAUDEEN HABEEBAH"

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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.