Experiments over two fake news detection datasets reveal that competitive detection statistics are obtained by our proposed approach when compared to shallow ...

... Their proposed approach was tested on a real world dataset and results show that Bagging got 89% accuracy in fake news classification. Opting for the same ...

Experiments over two fake news detection datasets reveal that competitive detection statistics are obtained by our proposed approach when compared to shallow ...

Oct 22, 2024 · div>Due the growing proliferation of fake news over the past couple of years, our objective in this paper is to propose an ensemble model ...

On the post-hoc explainability of deep echo state networks ... Efficient fake news detection using bagging ensembles of bidirectional echo state networks.

Feb 3, 2020 · Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks ... Fake News Detection in Social Networks via ...

Topics · FNDNet · Fake News · Convolutional Neural Network · Deep Convolutional Neural Networks · Hidden Layers · Fake News Detection · False Positives · Precision ...

Feb 19, 2024 · Our objective in this paper is to propose an ensemble model for the automatic classification of article news as being either real or fake.

Missing: Efficient Bagging

But on the other hand, it is becoming a daunting task to differentiate between false information and true information thus leading to widespread fake news. We ...