[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
A scientometric analysis of deep learning approaches for detecting fake news
The unregulated proliferation of counterfeit news creation and dissemination that has been
seen in recent years poses a constant threat to democracy. Fake news articles have the …
seen in recent years poses a constant threat to democracy. Fake news articles have the …
[HTML][HTML] Multimodal fake news detection via progressive fusion networks
J **g, H Wu, J Sun, X Fang, H Zhang - Information processing & …, 2023 - Elsevier
Multimodal fake news detection methods based on semantic information have achieved
great success. However, these methods only exploit the deep features of multimodal …
great success. However, these methods only exploit the deep features of multimodal …
[HTML][HTML] Fake News Classification using transformer based enhanced LSTM and BERT
Fake News has been a concern all over the world and social media has only amplified this
phenomenon. Fake News has been affecting the world on a large scale as these are …
phenomenon. Fake News has been affecting the world on a large scale as these are …
A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks
In recent years, social media has increasingly become one of the popular ways for people to
consume news. As proliferation of fake news on social media has the negative impacts on …
consume news. As proliferation of fake news on social media has the negative impacts on …
Hierarchical multi-modal contextual attention network for fake news detection
Nowadays, detecting fake news on social media platforms has become a top priority since
the widespread dissemination of fake news may mislead readers and have negative effects …
the widespread dissemination of fake news may mislead readers and have negative effects …
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT
The progressive growth of today's digital world has made news spread exponentially faster
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …
Causal intervention and counterfactual reasoning for multi-modal fake news detection
Due to the rapid upgrade of social platforms, most of today's fake news is published and
spread in a multi-modal form. Most existing multi-modal fake news detection methods …
spread in a multi-modal form. Most existing multi-modal fake news detection methods …
QMFND: A quantum multimodal fusion-based fake news detection model for social media
Fake news is frequently disseminated through social media, which significantly impacts
public perception and individual decision-making. Accurate identification of fake news on …
public perception and individual decision-making. Accurate identification of fake news on …
Ceasing hate with moh: Hate speech detection in hindi–english code-switched language
Warning: This manuscript may contain upsetting language. Social media has become a
bedrock for people to voice their opinions worldwide. Due to the greater sense of freedom …
bedrock for people to voice their opinions worldwide. Due to the greater sense of freedom …