Fake News Detection Using Hybrid Approach
Authors
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Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Athwalines, Athwa, Surat - 395001, Gujarat
Him Gohil -
Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Athwalines, Athwa, Surat - 395001, GujaratVandana Joshi
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Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Athwalines, Athwa, Surat - 395001, GujaratSnehal Gandhi
DOI:
https://doi.org/10.17821/srels/2024/v61i2/171046Keywords:
BERT, Fake News, RoBERTa, Social MediaAbstract
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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