Development of Fake News Detection Machine Using Decision Tree Algorithm
Student: Emmanuel Opeyemi Abiodun (Project, 2025)
Department of Computer Science and Information Technology
Lens Polytechnic, offa, Kwara State.
Abstract
Fake news nowadays is an important aspect in the life of social media, and in the political world. Fake news detection is an important research to be done for its detection but it has some challenges too. Some challenges can be due to less number of resources like an available dataset and published
Keywords
detection
important
challenges
development
machine
decision
algorithm
nowadays
aspect
social
For the full publication, please contact the author directly at: emmanuelopeyemiabiodun@gmail.com
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Institutions
- Covenant University, Canaan Land, Ota, Ogun State 4
- Crawford University of Apostolic Faith Mission Faith City, Igbesa, Ogun State 2
- Crescent University, Abeokuta, Ogun State 1
- Cross Rivers University of Technology, Calabar, Cross Rivers State 144
- Delta State Polytechnic, Ogwashi-Uku, Delta State 14
- Delta State Polytechnic, Otefe, Delta State 13
- Delta State University, Abraka, Delta State 142
- Ebonyi State University, Abakaliki, Ebonyi State 18
- Edo University, Iyamho, Edo State 11
- Ekiti State University 60