Deep learning based multimodal biomedical data fusion: An overview and comparative review
J Duan, J **ong, Y Li, W Ding - Information Fusion, 2024 - Elsevier
Multimodal biomedical data fusion plays a pivotal role in distilling comprehensible and
actionable insights by seamlessly integrating disparate biomedical data from multiple …
actionable insights by seamlessly integrating disparate biomedical data from multiple …
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …
for real-time information dissemination. It has become an open stage for discussion …
Fake news detection based on news content and social contexts: a transformer-based approach
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
Mvae: Multimodal variational autoencoder for fake news detection
In recent times, fake news and misinformation have had a disruptive and adverse impact on
our lives. Given the prominence of microblogging networks as a source of news for most …
our lives. Given the prominence of microblogging networks as a source of news for most …
[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 …
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 …
Cross-modal ambiguity learning for multimodal fake news detection
Cross-modal learning is essential to enable accurate fake news detection due to the fast-
growing multimodal contents in online social communities. A fundamental challenge of …
growing multimodal contents in online social communities. A fundamental challenge of …
[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 …
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 …
Eann: Event adversarial neural networks for multi-modal fake news detection
As news reading on social media becomes more and more popular, fake news becomes a
major issue concerning the public and government. The fake news can take advantage of …
major issue concerning the public and government. The fake news can take advantage of …