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Original Article
A Predictive Intelligence Model for Fake News Detection on Online Media
Titus Kamwira1
Dr David Muriuki2
Dr Kennedy Khadullo3
1Student, Department of Information Technology and Computer Science, The Cooperative University of Kenya, Kenya. 2 3 Lecturer, Department of Information Technology and Computer Science, The Cooperative University of Kenya, Kenya
Published Online: September-December 2025
Pages: 85-88
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250403016
References
1. Ahmed, A. A. A., Aljabouh, A., Donepudi, P. K., & Choi, M. S. (2021). Detecting Misinformation and Fake News using machine learning: A systematic literature review. arXiv preprint arXiv:2102.04458.
2. Capuano, N., Fenza, G., Loia, V., & Nota, F. D. (2023). Content-based fake news detection with machine and deep learning: A systematic review. Neurocomputing, 530, 91-103.
3. Ceylan, G., Anderson, I. A., & Wood, W. (2023). Sharing of misinformation is habitual, not just lazy or biased. Proceedings of the National Academy of Sciences, 120(4), e2216614120.
4. Gradoń, Kacper T., et al. "Countering misinformation: A multidisciplinary approach." Big Data & Society 8.1 (2021): 20539517211013848.
5. Ilie, V.-I., Truica, C.-O., Apostol, E.-S., & Paschke, A. (2021). Context-aware misinformation detection: A benchmark of deep learning architectures using word embeddings. IEEE Access, 9, 162122-162146. https://doi.org/10.1109/ACCESS.2021.3132502
6. Kansara, P., & Adhvaryu, K. U. (2024). A Survey of Fake Data or Misinformation Detection Techniques Using Big Data and Sentiment Analysis. SN Computer Science, 5(7), 955.
7. Khanam, Z., Alwasel, B. N., Sirafi, H., & Rashid, M. (2021, March). Fake news detection using machine learning approaches. In IOP conference series: materials science and engineering (Vol. 1099, No. 1, p. 012040). IOP Publishing.
8. Mboya, T. (2024, February 6). Rise in disinformation and influence operations: Kenyans beware. The Elephant. Retrieved from The Elephant website
9. Mintoo, A. A. (2024). Detecting Fake News Using Data Analytics: A Systematic Literature Review And Machine Learning Approach. Academic Journal on Innovation, Engineering & Emerging Technology, 1(01), 108-130.
10. Mishima, K., & Yamana, H. (2022). A survey on explainable fake news detection. IEICE Transactions on Information and Systems, E105.D(7), 1249-1257. https://doi.org/10.1587/transinf.2021EDR0003
11. Mishra, S., Shukla, P., & Agarwal, R. (2022). Analyzing machine learning enabled fake news detection techniques for diversified datasets. Wireless Communications and Mobile Computing, 2022(1), 1575365.
12. MIT Sloan. (2023, 29). Why do people around the world share fake news? New research finds commonalities in global behavior. Retrieved from https://mitsloan.mit.edu/press/why-do-people-around-world-share-fake-news-new-research-finds-commonalities-global-behavior
13. Ngila, F. (2020, Business Daily). Fake news and online bullying on the rise. Business Daily Africa. https://www.businessdailyafrica.com/bd/data-hub/fake-news-and-online-bullying-on-the-rise-2296146 Business Daily Africa+1
14. Rao, A., Shetty, A., Uphade, A., Thawani, P., & RL, P. (2020, December). A Proposal for a novel approach to analyze and detect the fake news using AI techniques. In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) (pp. 582-589). IEEE.
15. Segura-Bedmar, I., & Alonso-Bartolome, S. (2022). Multimodal fake news detection. Information, 13(6), 284. https://doi.org/10.3390/info13060284.
16. Social Media Lab Africa & United States International University (USIU-Africa). (2020). Kenyan Social Media Landscape 2020 Report. SIMElab, USIU-Africa. https://www.usiu.ac.ke/1857/social-media-lab-releases-kenyan-landscape-2020-report
17. Tajrian, M., Rahman, A., Kabir, M. A., & Islam, M. R. (2023). A review of methodologies for fake news analysis. IEEe Access, 11, 73879-73893.
18. Zhang, C., Gupta, A., Kauten, C., Deokar, A. V., & Qin, X. (2020). Detecting fake news for reducing misinformation risks using analytics approaches. European journal of operational research, 279(3), 1036-1052.
2. Capuano, N., Fenza, G., Loia, V., & Nota, F. D. (2023). Content-based fake news detection with machine and deep learning: A systematic review. Neurocomputing, 530, 91-103.
3. Ceylan, G., Anderson, I. A., & Wood, W. (2023). Sharing of misinformation is habitual, not just lazy or biased. Proceedings of the National Academy of Sciences, 120(4), e2216614120.
4. Gradoń, Kacper T., et al. "Countering misinformation: A multidisciplinary approach." Big Data & Society 8.1 (2021): 20539517211013848.
5. Ilie, V.-I., Truica, C.-O., Apostol, E.-S., & Paschke, A. (2021). Context-aware misinformation detection: A benchmark of deep learning architectures using word embeddings. IEEE Access, 9, 162122-162146. https://doi.org/10.1109/ACCESS.2021.3132502
6. Kansara, P., & Adhvaryu, K. U. (2024). A Survey of Fake Data or Misinformation Detection Techniques Using Big Data and Sentiment Analysis. SN Computer Science, 5(7), 955.
7. Khanam, Z., Alwasel, B. N., Sirafi, H., & Rashid, M. (2021, March). Fake news detection using machine learning approaches. In IOP conference series: materials science and engineering (Vol. 1099, No. 1, p. 012040). IOP Publishing.
8. Mboya, T. (2024, February 6). Rise in disinformation and influence operations: Kenyans beware. The Elephant. Retrieved from The Elephant website
9. Mintoo, A. A. (2024). Detecting Fake News Using Data Analytics: A Systematic Literature Review And Machine Learning Approach. Academic Journal on Innovation, Engineering & Emerging Technology, 1(01), 108-130.
10. Mishima, K., & Yamana, H. (2022). A survey on explainable fake news detection. IEICE Transactions on Information and Systems, E105.D(7), 1249-1257. https://doi.org/10.1587/transinf.2021EDR0003
11. Mishra, S., Shukla, P., & Agarwal, R. (2022). Analyzing machine learning enabled fake news detection techniques for diversified datasets. Wireless Communications and Mobile Computing, 2022(1), 1575365.
12. MIT Sloan. (2023, 29). Why do people around the world share fake news? New research finds commonalities in global behavior. Retrieved from https://mitsloan.mit.edu/press/why-do-people-around-world-share-fake-news-new-research-finds-commonalities-global-behavior
13. Ngila, F. (2020, Business Daily). Fake news and online bullying on the rise. Business Daily Africa. https://www.businessdailyafrica.com/bd/data-hub/fake-news-and-online-bullying-on-the-rise-2296146 Business Daily Africa+1
14. Rao, A., Shetty, A., Uphade, A., Thawani, P., & RL, P. (2020, December). A Proposal for a novel approach to analyze and detect the fake news using AI techniques. In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) (pp. 582-589). IEEE.
15. Segura-Bedmar, I., & Alonso-Bartolome, S. (2022). Multimodal fake news detection. Information, 13(6), 284. https://doi.org/10.3390/info13060284.
16. Social Media Lab Africa & United States International University (USIU-Africa). (2020). Kenyan Social Media Landscape 2020 Report. SIMElab, USIU-Africa. https://www.usiu.ac.ke/1857/social-media-lab-releases-kenyan-landscape-2020-report
17. Tajrian, M., Rahman, A., Kabir, M. A., & Islam, M. R. (2023). A review of methodologies for fake news analysis. IEEe Access, 11, 73879-73893.
18. Zhang, C., Gupta, A., Kauten, C., Deokar, A. V., & Qin, X. (2020). Detecting fake news for reducing misinformation risks using analytics approaches. European journal of operational research, 279(3), 1036-1052.
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