Undergraduate Project (UG)

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    USING ARTIFICIAL INTELLIGENCE (AI) TOOL FOR PREVENTING DUPLICATION OF FAKE NEWS ON SOCIAL MEDIA PLATFORMS AMONG STUDENTS OF KWARA STATE UNIVERSITY, MALETE
    (2023) ADEMOLA, Mariam Omobolanle
    This project investigates the use of Artificial Intelligence (AI) to prevent the duplication of fake news on social media platforms among Kwara State University students. A quantitative survey approach was employed, with data collected from 150 students through questionnaires distributed on social media. Findings indicate students recognize the potential of AI tools, like natural language processing and machine learning algorithms, in detecting duplicate fake news. However, there are diverging opinions on AI's overall impact in significantly reducing fake news duplications and increasing users' trust in social media. Recommendations emphasize media literacy promotion and user education to enhance AI's effectiveness in investigate how artificial intelligence (AI) tool can be used in preventing the duplication of fake news on social media platforms. The objectives of the study were to: identify the AI tool that can be used in preventing the duplication of fake news on social media platform (ii) use the AI tool for preventing the duplication of fake news and (iii) assess efficiency of AI-based tool in preventing the duplication of fake news on social media platform. A quantitative research design that entails the collection and analysis of numerical data to identify patterns, relationships, and trends relevant to the research topic was adopted. The study population was the 556 mass communication department students. Systematic sampling techniques was used to determine the sample size of 272 and simple random sampling techniques was used in selecting the sample size. The research design employed was quantitative survey and the data were collected with the help on online questionnaires (google form). Out of the 274 questionnaires share online, 124 respondents fill, complete and submit the questionnaires, thus, the 124 respondents were used for the data analysis. Findings revealed that, majority of respondents agreed with the effectiveness of AI tools in detecting duplicate fake news. Also, the respondents agreed that AI tools can analyze user behavior, compare news articles, monitor social media platforms, and provide AI-based recommendations however, respondents disagreed with the notion that AI tools have significantly reduced the duplication of fake news, minimized its spread, increased users' trust in social media platforms, and reduced the impact on public perception and trust in media. It was recommended that; AI tools should be used in conjunction with human moderators to ensure a comprehensive and accurate detection of duplicated fake news. Human oversight and expertise can help overcome the limitations of AI algorithms.
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    USING ARTIFICIAL INTELLIGENCE (AI) TOOL FOR PREVENTING DUPLICATION OF FAKE NEWS ON SOCIAL MEDIA PLATFORMS AMONG STUDENTS OF KWARA STATE UNIVERSITY, MALETE
    (2023) ADEMOLA, Mariam Omobolanle
    This project investigates the use of Artificial Intelligence (AI) to prevent the duplication of fake news on social media platforms among Kwara State University students. A quantitative survey approach was employed, with data collected from 150 students through questionnaires distributed on social media. Findings indicate students recognize the potential of AI tools, like natural language processing and machine learning algorithms, in detecting duplicate fake news. However, there are diverging opinions on AI's overall impact in significantly reducing fake news duplications and increasing users' trust in social media. Recommendations emphasize media literacy promotion and user education to enhance AI's effectiveness in investigate how artificial intelligence (AI) tool can be used in preventing the duplication of fake news on social media platforms. The objectives of the study were to: identify the AI tool that can be used in preventing the duplication of fake news on social media platform (ii) use the AI tool for preventing the duplication of fake news and (iii) assess efficiency of AI-based tool in preventing the duplication of fake news on social media platform. A quantitative research design that entails the collection and analysis of numerical data to identify patterns, relationships, and trends relevant to the research topic was adopted. The study population was the 556 mass communication department students. Systematic sampling techniques was used to determine the sample size of 272 and simple random sampling techniques was used in selecting the sample size. The research design employed was quantitative survey and the data were collected with the help on online questionnaires (google form). Out of the 274 questionnaires share online, 124 respondents fill, complete and submit the questionnaires, thus, the 124 respondents were used for the data analysis. Findings revealed that, majority of respondents agreed with the effectiveness of AI tools in detecting duplicate fake news. Also, the respondents agreed that AI tools can analyze user behavior, compare news articles, monitor social media platforms, and provide AI-based recommendations however, respondents disagreed with the notion that AI tools have significantly reduced the duplication of fake news, minimized its spread, increased users' trust in social media platforms, and reduced the impact on public perception and trust in media. It was recommended that; AI tools should be used in conjunction with human moderators to ensure a comprehensive and accurate detection of duplicated fake news. Human oversight and expertise can help overcome the limitations of AI algorithms.