Mass Communication

Permanent URI for this collectionhttps://dspace.summituniversity.edu.ng/handle/123456789/28

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    INFLUENCE OF ARTIFICIAL INTELLIGENCE ON SOCIAL MEDIA POLITICAL CAMPAIGN AMONG POLITICAL PARTY MEMBERS IN OFFA
    (2024) ABUBAKAR, Moronranti Khadijah
    The study examined the influence of Artificial Intelligence on social media among political party members in Offa. Artificial Intelligence (AI) has become increasingly prevalent in various aspects of our lives, including politics. The objectives of this study are (i) to assess the level of awareness of AI for social media political campaigns among political party member in Offa. (ii) to investigate the perception of political party members in using Artificial Intelligence for social media political campaign. (iii) to examine the influence of Artificial Intelligence on social media political campaigns among political party members in Offa. This study made use of Cross-sectional research design and Self-administered questionnaire was administered to a sample size of three hundred and seventy-seven political party member using 20961 populations. Questionnaires were used to collect data which was analysed with statistical method indicating frequency, percentages, mean and standard deviation. The study found out that there is low awareness about using AI in social media political campaign and as a result there is low perception of AI in campaign and limited influence on AI on social media political campaign. Lastly, the study therefore recommends that; there should be effective and thorough awareness on the use of AI role in motivating citizen to participate in politics,set clear goal and objectives for their social media campaign to identify areas where AI can be most useful, choose AI tools that suit their needs considering factors like ease of use, cost and technical support, train their campaign teams to use AI tools effectively and interpret AI- generated insights, focus on ensuring high-quality data as AI algorithm’s effectiveness depends on the data they analyze.
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    INFLEUNCE OF SOCIAL MEDIA INFORMATION CREDIBILITY ON COVID-19 VACCINATION AMONG KWARA UDERGRADUATES
    (2022) AYOOLA, Risikat Arinola
    This study examined the Influence of social media information credibility on Covid-19 vaccination among Kwara Undergraduates and to examine the relationship between social media and Covid-19 vaccination among Kwara Undergraduates. The objectives of the study were to (i) Determine the social media platform that Kwara Undergraduates use to get information about Covid-19 vaccination; (ii) Examine the credibility of social media information on Covid-19 vaccination among Kwara Undergraduates; (iii) Investigate the influence of social media information on Kwara Undergraduates on Covid-19 vaccination anchored on source credibility theory, the study adopted the survey research method with questionnaire as an instrument for gathering data. The population of the study comprised of Kwara Undergraduates with Seventeen thousand eight hundred and fifty three. The study adopted the stratified techniques and simple random sampling techniques to select available respondents cutting across 100-400level from Kwara State University, Malete as well as Summit University, Offa. A sample size of 377 was chosen using Krejcie and Morgan formula. The study found out that 33.4% of Kwara Undergraduates use Facebook to get credible information about Covid-19 vaccination than other social media platform. Further findings revealed that reliance on source of News on social media platforms as regards Covid-19 vaccination helps Kwara Undergraduates believe in information disseminated via social media with (M=1.01, SD=46.80), Additional findings reveals that without getting vaccinated one cannot travel to other countries on social media platforms (M=2.10, SD=1.39).
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    AWARENESS OF ARTIFICIAL INTELLIGENCE FOR DETECTING FAKE NEWS IN SOCIAL MEDIA NEWS POST AMONG MASS COMMUNICATION STUDENTS OF THE UNIVERSITY OF ILORIN
    (2023) AJIBADE MUSEDIQ
    This study examined to assess the awareness of artificial intelligence (AI) for detecting fake news in social media news posts among mass communication students at the University of Ilorin. A total of 222 questionnaires were administered, and 216 valid responses were analyzed. The research findings revealed a high level of awareness among the students regarding AI in detecting fake news, with 73.2% acknowledging their familiarity with AI in relation to fake news detection. Additionally, 69.5% of respondents agreed that media literacy programs and educational initiatives could influence the level of awareness among students. However, despite the positive findings, the study faced limitations, including a small sample size and potential self-report bias in responses. To build upon these findings, future studies should employ larger and more diverse samples while exploring the effectiveness of AI education interventions on students' journalistic practices and ethical decision-making. Furthermore, comparative studies between different educational approaches and AI awareness levels in various regions can offer insights into best practices for integrating AI education into journalism curricula, fostering an informed and responsible media ecosystem in the digital age.