Deep vs. Shallow: A Comparative Study of Machine Learning and Deep Learning Approaches for Fake Health News Detection

Internet explosion and penetration have amplified the fake news problem that existed even before Internet penetration. This becomes more of a concern, if the news is health-related. To address this issue, this research proposes Content Based Models (CBM) and Feature Based Models (FBM). The differenc...

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Bibliografische Detailangaben

Hauptverfasser:	Tripti Mahara, V. L. Helen Josephine, Rashmi Srinivasan, Poorvi Prakash, Abeer D. Algarni, Om Prakash Verma
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2023-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Fake news healthcare classification deep learning machine learning readability features
Online-Zugang:	https://ieeexplore.ieee.org/document/10192389/
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