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[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
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 …
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
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 …
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 …
superhypergraphs further generalize this concept to represent even more complex …
Opportunistic capacity based resource allocation for 6G wireless systems with network slicing
With the rapid increase of wireless application demand, 6G Wireless Systems need to further
support the heterogeneous communication service contents with limited spectrum …
support the heterogeneous communication service contents with limited spectrum …
A novel fake news detection model for context of mixed languages through multiscale transformer
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
ubiquitous vehicular networks are an important component. Due to the limitation of urban …