[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches

MR Kondamudi, SR Sahoo, L Chouhan… - Journal of King Saud …, 2023 - Elsevier
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …

A deep learning-based fast fake news detection model for cyber-physical social services

Q Zhang, Z Guo, Y Zhu, P Vijayakumar… - Pattern Recognition …, 2023 - Elsevier
With the prevalence of social network service in cyber-Physical space, flow of various fake
news has been a rough issue for operators of social service. Although many theoretical …

Superhypergraph neural networks and plithogenic graph neural networks: Theoretical foundations

T Fujita - arxiv preprint arxiv:2412.01176, 2024 - arxiv.org
Hypergraphs extend traditional graphs by allowing edges to connect multiple nodes, while
superhypergraphs further generalize this concept to represent even more complex …

Opportunistic capacity based resource allocation for 6G wireless systems with network slicing

J Huang, F Yang, C Chakraborty, Z Guo… - Future Generation …, 2023 - Elsevier
With the rapid increase of wireless application demand, 6G Wireless Systems need to further
support the heterogeneous communication service contents with limited spectrum …

A novel fake news detection model for context of mixed languages through multiscale transformer

Z Guo, Q Zhang, F Ding, X Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fake news detection has been a more urgent technical demand for operators of online
social platforms, and the prevalence of deep learning well boosts its development. From the …

Autonomous behavioral decision for vehicular agents based on cyber-physical social intelligence

Z Guo, D Meng, C Chakraborty, XR Fan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In future smart cities supported by cyber-physical social intelligence, autonomous behavioral
decision for vehicular agents is going to become a general demand. Despite much progress …

Cloud-edge-end collaborative caching based on graph learning for cyber-physical virtual reality

J Yang, Z Guo, J Luo, Y Shen, K Yu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Virtual reality (VR) is an important landing scenario for 5G and a key enabling technology for
the digital economy, and the core challenge it faces is how to ensure real-time interaction …

A privacy-preserving social computing framework for health management using federated learning

Z Shen, F Ding, Y Yao, A Bhardwaj… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Currently, health management driven by intelligent means is a general demand of social
systems. Although a number of researchers have paid attention to such areas, they have …

Game-on: Graph attention network based multimodal fusion for fake news detection

M Dhawan, S Sharma, A Kadam, R Sharma… - Social Network Analysis …, 2024 - Springer
Fake news being spread on social media platforms has a disruptive and damaging impact
on our lives. Multimedia content improves the visibility of posts more than text data but is …

A vehicle-road urban sensing framework for collaborative content delivery in freeway-oriented vehicular networks

X Zhu, Q Hua, W Yan, Z Guo, K Yu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …