Development of a fake news detection tool for Vietnamese based on deep learning techniques

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.265317

Keywords:

fake news detection, natural language processing, deep learning, CNN, RNN

Abstract

With the development of the Internet, social networks and different communication channels, people can get information quickly and easily. However, in addition to real and useful news, we also receive false and unreal information. The problem of fake news has become a difficult and unresolved issue. For languages with few users, such as Vietnamese, the research on fake news detection is still very limited and has not received much attention.

In this paper, we present research results on building a tool to support fake news detection for Vietnamese. Our idea is to apply text classification techniques to fake news detection. We have built a database of 4 groups of 2 topics about politics (fake news and real news) and about Covid-19 (fake news and real news). Then use deep learning techniques CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network) to create the corresponding models. When there is new news that needs to be verified, we just need to apply the classification to see which of the four groups they label into to decide whether it is fake news or not. The tool was able to detect fake news quickly and easily with a correct rate of about 85 %. This result will be improved when getting a larger training data set and adjusting the parameters for the machine learning model. These results make an important contribution to the research on detecting fake news for Vietnamese and can be applied to other languages. In the future, besides using classification techniques (based on content analysis), we can combine many other methods such as checking the source, verifying the author's information, checking the distribution process to improve the quality of fake news detection.

Supporting Agency

  • This research was funded by the Ministry of Education and Training (Vietnam) through the project code B2022-DNA-17.

Author Biographies

Trung Hung Vo, University of Technology and Education - The University of Danang

Doctor of Computer Science, Professor, Vice-Rector

Department of Digital Technology

Thi Le Thuyen Phan, FPT University

Doctor of Computer Science, IT Lecturer

Department of Information Technology

Khanh Chi Ninh, The University of Danang

PhD Student, Lecturer of VKU

Department of Information Technology

Vietnam-Korea University of Information and Communication Technology (VKU)

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Development of a fake news detection tool for Vietnamese based on deep learning techniques

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Published

2022-10-30

How to Cite

Vo, T. H., Phan, T. L. T., & Ninh, K. C. (2022). Development of a fake news detection tool for Vietnamese based on deep learning techniques. Eastern-European Journal of Enterprise Technologies, 5(2(119), 14–20. https://doi.org/10.15587/1729-4061.2022.265317

Issue

Vol. 5 No. 2(119) (2022): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2022 Trung Hung Vo, Thi Le Thuyen Phan, Khanh Chi Ninh

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