Innovative Approaches to Fake News Detection: A Data Mining Perspective

Authors

  • Abdullahi Modibbo Abdullahi

  • Mustapha Ismail

  • Yayale Isihaka Muhammad

DOI:

https://doi.org/10.34257/GJCSTCVOL24IS1PG1

Keywords:

ake news, detection, data mining, social media, classification

Abstract

Fake news becomes a major concern in the era of social media as it can spread rapidly and has significant impacts on individuals and society Society and individuals are negatively in uenced both politically and socially by the widespread increase of fake news either generated by humans or machines In the era of social networks such as Facebook X twitter and WhatsApp the quick rotation of fake news makes it challenging to evaluate its reliability promptly Therefore automated fake news detection tools have become a crucial requirement To address the aforementioned issues two data mining classification techniques were used as Extreme Gradient Boosting and Decision Tree with some python features This study is designed to use Decision Tree and Extreme Gradient Boosting methods to develop an effective approach for detecting and classifying news as real or fake to obtain a reliable model performance These models are trained on a labeled dataset consisting of both real and fake news The performance of the models was evaluated using standard evaluation metrics such as accuracy precision recall and F1-score The proposed approach achieved 100 accuracy in distinguishing between real and fake news It revealed and highlighted the potential of utilizing data mining techniques to combat the spread of fake news and provide valuable insights for researchers and practitioners in the field of information confirmation verification and media literacy We hope to use a different dataset to test the proposed model

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How to Cite

Abdullahi Modibbo Abdullahi, Mustapha Ismail, & Yayale Isihaka Muhammad. (2025). Innovative Approaches to Fake News Detection: A Data Mining Perspective. Global Journal of Computer Science and Technology, 24(C1), 1–14. https://doi.org/10.34257/GJCSTCVOL24IS1PG1

Innovative Approaches to Fake News Detection: A Data Mining Perspective

Published

2025-01-10