Home/Nigerian Journal of Technology/Article Record
Peer-Reviewed Article July 22, 2018

A hybrid approach to fake news detection on social media

Are you an author of this work?Link to your sovereign AfriScholar profile
Published in: Nigerian Journal of Technology
Publisher: University of Nigeria • Nigeria • 0331-8443 • 2467-8821
DOI: https://doi.org/10.4314/njt.v37i2.22

Abstract

Fake news has grown tremendously in recent times and this growth has had a great impact on how we make a number of sensitive decisions daily including becomes our President. There have been a wide range of solutions developed to help humans distinguish between fake and real news however, the solutions rely on either a machine-based approach or a human-based approach to detection. Research in the fields of computer science, artificial intelligence and psychology research has shown the limitations in both approaches. Based on these research findings, this paper proposes a hybrid model for detecting fake news on social media using a combination of both the human-based and machine-based detection approaches.Keywords: Fake news detection; Human decision making; Machine decision making

Download Full Text PDFView at PublisherCrossref RecordCrossref XML

Verified Citation Velocity

Recorded scholarly citations in African and international peer-reviewed literature

62
Total Citations

Citations are continuously tracked and harvested across continental OJS endpoints and OpenAlex feeds.