Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
[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 …
[PDF][PDF] Multimodal fusion with co-attention networks for fake news detection
Y Wu, P Zhan, Y Zhang, L Wang… - Findings of the association …, 2021 - aclanthology.org
Fake news with textual and visual contents has a better story-telling ability than text-only
contents, and can be spread quickly with social media. People can be easily deceived by …
contents, and can be spread quickly with social media. People can be easily deceived by …
Temporally evolving graph neural network for fake news detection
The proliferation of fake news on social media has the probability to bring an unfavorable
impact on public opinion and social development. Many efforts have been paid to develop …
impact on public opinion and social development. Many efforts have been paid to develop …
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 …
Detecting fake news by exploring the consistency of multimodal data
During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news
has caused serious social panic. Fake news often uses multimedia information such as text …
has caused serious social panic. Fake news often uses multimedia information such as text …
Memory-guided multi-view multi-domain fake news detection
The wide spread of fake news is increasingly threatening both individuals and society. Great
efforts have been made for automatic fake news detection on a single domain (eg, politics) …
efforts have been made for automatic fake news detection on a single domain (eg, politics) …