Nov 3, 2023 · This paper evaluates several machine learning and deep learning approaches to automatically identify fake news from headlines and news descriptions.

As there is no single large, standard dataset available for fake news detection, this study derives a large dataset by integrating 2 publicly available datasets ...

The goal of this study is to evaluate several machine learning and deep learning approaches to automatically identify fake news from headlines and news ...

Feb 10, 2022 · This article proposes a hybrid-improved deep learning model for automatic fake news detection. The proposed model adopts automatic data augmentation method.

It makes use of a large consolidated dataset that was created by integrating two publicly available datasets. In addition, the recom- mended approach has been ...

As there is no single large, standard dataset available for fake news detection, this study derives a large dataset by integrating two publicly available ...

Aug 30, 2024 · This study proposes a hybrid deep learning framework, combining the strengths of BERT and GPT, to examine the effectiveness of transformers in ...

In this work, we propose a novel hybrid deep learning model for fake news detection that aug- ments the semantic characteristics of the news with features ...

The proposed approach attains 99.19% accuracy and significantly superior detection outcomes compared to existing methods, highlighting its potential to ...

Jun 29, 2023 · Considering the impact of the proliferation of fake news, deep learning models can be of great help in detecting fake news on the web.