Fake News Detection Using Hybrid Approach

Authors

  • Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Athwalines, Athwa, Surat - 395001, Gujarat
  • Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Athwalines, Athwa, Surat - 395001, Gujarat
  • Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Athwalines, Athwa, Surat - 395001, Gujarat

DOI:

https://doi.org/10.17821/srels/2024/v61i2/171046

Keywords:

BERT, Fake News, RoBERTa, Social Media

Abstract

Over the last few years, fake news has dramatically increased on social media. Fake news can originate from any number of sources and is shared across different social platforms. This type of information is used to spread for fun or economic gain. Our goal is to stop distributing this type of misleading information on social media or any other platform. In this paper, we have proposed a hybrid model (RoBERTa and BERT) to detect fake news. Our proposed architecture is based on the LIAR multi-label dataset. Our model shows promising results.

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References

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Published

2024-05-06

How to Cite

Gohil, H., Joshi, V., & Gandhi, S. (2024). Fake News Detection Using Hybrid Approach. Journal of Information and Knowledge, 61(2), 77–82. https://doi.org/10.17821/srels/2024/v61i2/171046

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Articles