Development of Fake News Detection System Using Decision Tree Algorithm

Student: Abiodun Janet Arowolo (Project, 2025)
Department of Computer Science and Informatics
Lens Polytechnic, offa, Kwara State.

Abstract

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 literature. I propose in this paper, a fake news detection using machine learning techniques. I compare different machine learning classification techniques. Not only that, but we will be working with one models that are, Decision Tree Classifier. According to my project’s finding I have achieved various accuracy of each method respectively. Our project can highly benefit to detect whether the given news is true or fake.

Keywords
development detection system decision algorithm
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