Fake News Detection System, based on CBOW and BERT

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Abstract
Fake news is becoming a major challenge that greatly affects the public’s trust in
the media. In this paper, we propose a new solution, combining word embedding based on
CBOW (Continuous Bag Of Words) and the BERT (Bidirectional Encoder Representations
from Transformers) models to support fake news detection. This paper focuses on presenting
the proposed model and processing steps through the FND4Vn system, with a data set of
Vietnamese news. Experimental results show that this solution achieves accuracy as high as
0.96 in recall and has many advantages compared to existing methods.
- Title
- Fake News Detection System, based on CBOW and BERT
- Author
- Vo, Trung Hung
- Felde, Imre
- Ninh, Khanh Chi
- xmlui.dri2xhtml.METS-1.0.item-date-issued
- 2025
- xmlui.dri2xhtml.METS-1.0.item-rights-access
- Open access
- xmlui.dri2xhtml.METS-1.0.item-identifier-issn
- 1785-8860
- xmlui.dri2xhtml.METS-1.0.item-language
- en
- xmlui.dri2xhtml.METS-1.0.item-format-page
- Fake News Detection System, based on CBOW and BERT
- xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
- fake news detection, cbow, bert, transformer, natural language processing
- xmlui.dri2xhtml.METS-1.0.item-description-version
- Kiadói változat
- xmlui.dri2xhtml.METS-1.0.item-identifiers
- DOI: 10.12700/APH.22.1.2025.1.2
- xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
- Acta Polytechnica Hungarica
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
- 2025
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalVolume
- 22. évf.
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalNumber
- 1. sz.
- xmlui.dri2xhtml.METS-1.0.item-type-type
- Tudományos cikk
- xmlui.dri2xhtml.METS-1.0.item-subject-area
- Műszaki tudományok - informatikai tudományok
- xmlui.dri2xhtml.METS-1.0.item-publisher-university
- Óbudai Egyetem