A survey of multi-modal knowledge graphs: Technologies and trends

W Liang, PD Meo, Y Tang, J Zhu - ACM Computing Surveys, 2024 - dl.acm.org
In recent years, Knowledge Graphs (KGs) have played a crucial role in the development of
advanced knowledge-intensive applications, such as recommender systems and semantic …

[HTML][HTML] Deep learning for fake news detection: A comprehensive survey

L Hu, S Wei, Z Zhao, B Wu - AI open, 2022 - Elsevier
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 …

Compare to the knowledge: Graph neural fake news detection with external knowledge

L Hu, T Yang, L Zhang, W Zhong, D Tang… - Proceedings of the …, 2021 - aclanthology.org
Nowadays, fake news detection, which aims to verify whether a news document is trusted or
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …

[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 …

Twibot-22: Towards graph-based twitter bot detection

S Feng, Z Tan, H Wan, N Wang… - Advances in …, 2022 - proceedings.neurips.cc
Twitter bot detection has become an increasingly important task to combat misinformation,
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …

Hierarchical multi-modal contextual attention network for fake news detection

S Qian, J Wang, J Hu, Q Fang, C Xu - Proceedings of the 44th …, 2021 - dl.acm.org
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 …

Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions

P Akhtar, AM Ghouri, HUR Khan, M Amin ul Haq… - Annals of operations …, 2023 - Springer
Fake news and disinformation (FNaD) are increasingly being circulated through various
online and social networking platforms, causing widespread disruptions and influencing …

Ddgcn: Dual dynamic graph convolutional networks for rumor detection on social media

M Sun, X Zhang, J Zheng, G Ma - … of the AAAI conference on artificial …, 2022 - ojs.aaai.org
Detecting rumors on social media has become particular important due to the rapid
dissemination and adverse impacts on our lives. Though a set of rumor detection models …

Multimodal sentiment detection based on multi-channel graph neural networks

X Yang, S Feng, Y Zhang, D Wang - … of the 59th Annual Meeting of …, 2021 - aclanthology.org
With the popularity of smartphones, we have witnessed the rapid proliferation of multimodal
posts on various social media platforms. We observe that the multimodal sentiment …

Improving fake news detection with domain-adversarial and graph-attention neural network

H Yuan, J Zheng, Q Ye, Y Qian, Y Zhang - Decision Support Systems, 2021 - Elsevier
With the widespread use of online social media, we have witnessed that fake news causes
enormous distress and inconvenience to people's social life. Although previous studies have …