A comprehensive review of machine learning-based models for fake news detection

Open Access

Issue		BIO Web Conf. Volume 97, 2024 Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)


Article Number		00123
Number of page(s)		14
DOI		https://doi.org/10.1051/bioconf/20249700123
Published online		05 April 2024

A. Jain, H. Khatter, A. Shakya, “A Smart System for Fake News Detections Using Machine Leaning,” vol. 1, 2019. [Google Scholar]
K. Agarwalla, S. Nandan, V.A. Nail, D.D. Hema, “Fake News Using Machine Learning and Natural Language Processing”, vol. 7, 2019. [Google Scholar]
X.Z.B.J. Wu, and R. Zafarani, “SAFE: Similarity-Aware Multi-modal Fake.” vol. 1, 2020, [Online], Available 10.48550/2003.04981 [Google Scholar]
J. Zeng, Y. Zhang, and X. Ma, “Fake news detection for epidemic emergencies via deep correlations between text and images,” vol. 66, 2020. [Google Scholar]
M.H. Goldani, S. Momtazi, and R. Safabakhsh, “Detecting fake news with capsule neural networks,” vol. 101, 2021. [Google Scholar]
D. Khattar, M. Gupta, J.S. Goud, and V. Varma, “MvaE: Multimodal variational autoencoder for fake news detection,” vol 1, 2019. [Google Scholar]
S. Yoon et al., “Detecting incongruity between news headline and body text via a deep hierarchical encoder,” vol. 2, 2019. [Google Scholar]
Z. Jin, J. Cao, Y. Zhang, J. Zhou, and Q. Tian, “Novel Visual and Statistical Image Features for Microblogs News Verification,” vol. 19, 2017. [Google Scholar]
W.Y. Wang, “Liar, liar pants on fire: A new benchmark dataset.” vol. 1, 2017. [Google Scholar]
V. Perez-Rosas, B. Kleinberg, A. Lefevre and R. Mihalcea. “Automatic Detection of Fake News.” vol. 1, 2017. [Google Scholar]
X. Zhou, A. Jain, V.V. Phoha, and R. Zafarani. “Fake News Early Detection: A Theory-driven Model.” vol. 1, 2020. [Google Scholar]
I. Ahmad, M. Yousaf, S. Yousaf, M.O. Ahmad and S. Yousaf. “Fake News Detection Using Machine Learning Ensemble Methods.” vol. 1, 2020. [Google Scholar]
Z. Khanam, B.N. Alwasel, H. Sirafi and M. Rashid. “Fake News Detection Using Machine Learning Approaches.” vol. 1099, 2021. [Google Scholar]
K. Shu, A. Sliva, S. Wang, J. Tang and H. Liu. “Fake News Detection on Social Media: A Data Mining Perspective”. vol. 3, 2017. [Google Scholar]
M. Gahirwal, S. Moghe, T. Kulkarni, D. Khakhar and J. Bhatia. “Fake News Detection”. vol. 4, 2018. [Google Scholar]
V.L. Rubin, N.J. Conroy, Y. Chen, and S. Cornwell, “Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News.” vol. 1, 2016. [Google Scholar]
J.M. Kudari, V.V.M. Bg “Fake News Detection using Passive Aggressive and TF-IDF Vectorizer”. vol. 7, 2020. [Google Scholar]
Jatain, A. Chaudhary, S. Batra, S.P. Bhaskar, “Rest web services: An elementary learning”. Research Journal of Engineering and Technology, 12(3), 75–78, 2021. [CrossRef] [Google Scholar]
Mor, P., Bhaskar, S. “Enabling Technologies and Architecture for 5G-Enabled IoT”. Blockchain for 5G-Enabled IoT: The new wave for Industrial Automation, 223–259, 2021. [Google Scholar]
Jatain, A. Chaudhary, S. Nagpal, P. Bhaskar, S. “Cloud Storage Architecture: Issues, Challenges and Opportunities”. International Journal of Innovative Research in Computer Science & Technology (IJIRCST) ISSN, 2347-5552, 2021. [Google Scholar]
T. Joy, D. Kaur, G. Chugh, A. Bhaskar “Computer Vision for Color Detection”. International Journal of Innovative Research in Computer Science & Technology (IJIRCST) ISSN, 2347-5552, 2021. [Google Scholar]
Jaglan, V. Bhaskar, S. “Locking Paradigm in Hierarchical Structure Environment”. Advances in Mechanical Engineering: Select Proceedings of CAMSE 2020, 653–661, 2021. [Google Scholar]
Nanda, A. Gupta, S. Bhaskar, S. “A Comprehensive Survey of Machine Learning in Scheduling of Transactions”. 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(2020), 740–745, 2020. [CrossRef] [Google Scholar]
Bhaskar, S. Bhaskar, S. “Study of locking protocols in database management for increasing concurrency”. 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(2020), 556–560, 2020. [Google Scholar]
Bhaskar, S. Bhaskar, S. “Reducing Complexity of Graph Isomorphism Problem”. International Journal of Innovative Research in Computer Science & Technology (IJIRCST) ISSN, 2347-5552, 2020 [Google Scholar]
Bhaskar, S. “CGVL:An Hierarchical Locking Mechanism”. International Journal of Control and Automation, 12(6), 725–743, 2020. [Google Scholar]
Agarwal, R. Bullah, H.R. Prabhakar, A. Jatain, A. Jaglan, V. Bhaskar, S. “Parkinson‘s Disorder: Taking a Step towards Homogenizing Machine Learning and Medical Science”. International Journal of Psychosocial Rehabilitation, 24(4), 2020. [Google Scholar]
Bhaskar, S. “A Review on the Concept of Deep Learning”. International Journal of Innovative Research in Computer Science & Technology (IJIRCST), ISSN, 2347-5552, 2020. [Google Scholar]
Jaglan, V. Sethi, N. Bhaskar, S. “Distortion Free Image Generation”. Grenze International Journal of Engineering and Technology, 15(8), 460–466, 2020. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.