Thai Fake News Detection Using Natural Language Processing

Authors

  • Thatchapit Chumnankit Computer Science and Information Systems Program, Graduate School of Applied Statistics, National Institute of Development Administration (NIDA), Bangkok, Thailand
  • Thitirat Siriborvornratanakul Graduate School of Applied Statistics, National Institute of Development Administration (NIDA), Bangkok, Thailand

Keywords:

Fake News, Fake News Detection, Thai Natural Language Processing

Abstract

In this research, a lightweight prototype of aThai fake news detection system as an alternative for users looking for fast and accessible Thai fake news detectors is proposed. The prototype is based on a Thai fake news database (Google BigQuery) where the news is collected from online resources and communities regarding Thai fake news warnings. Using techniques based on natural language processing, each news is processed and the extracted feature is stored in the database. For each user query, the query is transformed into a feature vector; such a vector is compared to the vectors of fake news stored in the database. Top three news (in the database) with maximum matching scores are then displayed to the user. Based on the experimental results on the test set, the current prototype can identify 120 news with the precision of 91.84% and recall of 75.00%.

References

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Published

2022-06-30

How to Cite

Chumnankit, T., & Siriborvornratanakul, T. (2022). Thai Fake News Detection Using Natural Language Processing. Science and Engineering Connect, 45(2), 275–287. retrieved from https://ph04.tci-thaijo.org/index.php/SEC/article/view/10286

Issue

Vol. 45 No. 2 (2022): April - June

Section

Research Article

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Copyright (c) 2022 King Mongkut's University of Technology Thonburi

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