Article Sidebar

PDF
Date Published: 28/06/2023
Online Published: 28/06/2023
Abstract Views: 813
Views PDF: 276
DOI: https://doi.org/10.54607/hcmue.js.20.6.3629(2023)
Issue
Vol. 20 No. 6 (2023)
Section
Articles
How to Cite
Bùi , C. D., & Nguyễn , T. D. H. (2023). SOME METHODS TO DETECT FAKE NEWS IN VIETNAMESE LANGUAGE. HCMUE Journal of Science, 20(6), 980. https://doi.org/10.54607/hcmue.js.20.6.3629(2023)

SOME METHODS TO DETECT FAKE NEWS IN VIETNAMESE LANGUAGE

Công Danh Bùi , Thị Diệu Hiền Nguyễn

Main Article Content

Abstract

With an increase of fake news published daily on the Internet in Vietnam, Readers, when readinga news story, need to ask themselves whether the news is reliable,Should I share and spread it? It is difficult to decide. Therefore, in this paper, we study, build, and evaluate machine learning and deep learning models including Naïve Bayes (NB), Support Vector Machine (SVM), and Long Short Term Memory (LSTM) regression networks to detect fake news on Vietnamese datasets. The results show that these models are able to detect fake news with an accuracy rate of more than 88% for the Vietnamese VFND dataset. This study could open  up future research directions to detect fake news in Vietnamese.

 

Keywords

deep learning, fake, fake news

Article Details

References

Aphiwongsophon, S., & Chongstitvatana, P. (2018). Detecting Fake News with Machine Learning Method. International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), (pp. 528-531).
Della Vedova, M. L., Tacchini, E., Moret, S., Ballarin, G., DiPierro, M., & de Alfaro, L. (2018). Automatic online fake news detection combining content and social signals. Proceedings of the 22st Conference of Open Innovations Association FRUCT, (pp. 272-279).
Ho Quang Thanh and ninh-pm-se. (2019). A collection of Vietnamese articles and Facebook posts categorizing 2 labels Real & Fake [Tap hop cac bai bao tieng Viet và cac bai post Facebook phan loai 2 nhan That & Gia (228 bai)]. Zenodo.
Julio C. S. Reis, André Correia, Fabrício Murai, Adriano Veloso, & Fabrício Benevenuto (2019). Supervised Learning for Fake News Detection. IEEE Intelligent Systems, 76-81.
Kurasinski, L. (2020). Machine Learning explainability in text classification for Fake News detection. Malmö University Publications.
Rubin, V., Conroy, N., Chen, Y., & Cornwell, S. (2016). Fake news or truth? Using satirical cues to detect potentially misleading news. Proceedings of the second workshop on computational approaches to deception detection.
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017). Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter, 22-36.
Tran, T. Y. M., & Pham T. H. (2020). Some skills to verify information for internet and social network users [Mot so ki nang tham dinh thong tin cho nguoi dung internet va mang xa hoi]. UED Journal of Social Sciences, Humanities & Education, 10(2020), 112-119