Fake News Detection using Hybrid of Deep Neural Network and Stacked LSTM

Narayan, Udit; Kumar, Ajad; Kumar, None K. Mani

doi:10.1109/icac3n53548.2021.9725519

2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) 2021

DOI: 10.1109/icac3n53548.2021.9725519

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Fake News Detection using Hybrid of Deep Neural Network and Stacked LSTM

Udit Narayan

Ajad Kumar

None K. Mani Kumar

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Machine Learning Approach for Fake News Detection

Bisen¹,

Paunikar²,

Thakur³

et al. 2022

ijngc

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A vital role is played by the media in the circulation of public information about the happenings. A fast spread of information using social media and social networks or websites is possible due to the quick development of the internet. With no worry about the reliability of the information, the misinformation is spread via social websites or networks and reaches multiple users. It is a very big challenge for society to deal with the spread of misinformation. The present research interest is the analysis of instinctive credibility of the news articles. For linguistic modeling, LSTM (Long Short-Term Memory), RNN (Recurrent Neural Network), etc. are widely utilized deep learning models. This paper presents a Bidirectional LSTM (BiLSTM) based sequential model for the detection of fake news. The proposed model uses word embeddings for the representation of words in high dimensional vector format. These word embeddings and Bidirectional LSTM tries to incorporate more semantic information of the content than that of RNN and unidirectional LSTM. 3 different publicly available datasets from Kaggle dataset repository are combined together for training, testing and validation of the proposed model. Along with this, the performance of different word embeddings is analyzed in this paper.

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Machine Learning Approach for Fake News Detection

Bisen¹,

Paunikar²,

Thakur³

et al. 2022

ijngc

View full text Add to dashboard Cite

show abstract

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Fake News Detection using Hybrid of Deep Neural Network and Stacked LSTM

Cited by 1 publication

References 10 publications

Machine Learning Approach for Fake News Detection

Machine Learning Approach for Fake News Detection

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