Toward rumor detection in social networks using multi-layer autoencoder neural network

A Qourbani, M Khodaparast, R Othman Yahya… - Social Network Analysis …, 2023 - Springer
In recent years, the issue of spreading rumors as a big challenge in social networks has
attracted a lot of attention. The spread of rumors on social networks is remarkably fast, and …

A parallel neural network approach for faster rumor identification in online social networks

S Srinivasan, DB LD - International Journal on Semantic Web and …, 2019 - igi-global.com
The unprecedented scale of rumor propagation in online social networks urges the
necessity of faster rumor identification and control. The identification of rumors in the …

An End‐to‐End Rumor Detection Model Based on Feature Aggregation

A Ye, L Wang, R Wang, W Wang, J Ke, D Wang - Complexity, 2021 - Wiley Online Library
The social network has become the primary medium of rumor propagation. Moreover,
manual identification of rumors is extremely time‐consuming and laborious. It is crucial to …

Earlier detection of rumors in online social networks using certainty-factor-based convolutional neural networks

S Santhoshkumar, LD Dhinesh Babu - Social network analysis and mining, 2020 - Springer
The rampant propagation of rumors in online social networks leads to potential damage to
society. This phenomenon has attracted significant attention to the researches on faster …

A novel rumor detection with multi-objective loss functions in online social networks

P Wan, X Wang, G Pang, L Wang, G Min - Expert Systems with Applications, 2023 - Elsevier
COVID-19 quickly swept across the world, causing the consequent infodemic represented
by the rumors that have brought immeasurable losses to the world. It is imminent to achieve …

An adaptive deep transfer learning model for rumor detection without sufficient identified rumors

M Guo, Z Xu, L Liu, M Guo… - Mathematical Problems in …, 2020 - Wiley Online Library
With the extensive usage of social media platforms, spam information, especially rumors,
has become a serious problem of social network platforms. The rumors make it difficult for …

Rumor detection on social media with bi-directional graph convolutional networks

T Bian, X Xiao, T Xu, P Zhao, W Huang… - Proceedings of the …, 2020 - ojs.aaai.org
Social media has been developing rapidly in public due to its nature of spreading new
information, which leads to rumors being circulated. Meanwhile, detecting rumors from such …

Automatic rumor detection on microblogs: A survey

J Cao, J Guo, X Li, Z Jin, H Guo, J Li - arXiv preprint arXiv:1807.03505, 2018 - arxiv.org
The ever-increasing amount of multimedia content on modern social media platforms are
valuable in many applications. While the openness and convenience features of social …

Graph Convolutional-Based Deep Residual Modeling for Rumor Detection on Social Media

N Ye, D Yu, Y Zhou, K Shang, S Zhang - Mathematics, 2023 - mdpi.com
The popularity and development of social media have made it more and more convenient to
spread rumors, and it has become especially important to detect rumors in massive amounts …

Data fusion oriented graph convolution network model for rumor detection

K Yu, H Jiang, T Li, S Han, X Wu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of Mobile Internet, social media platforms explosively grow and
greatly facilitate people to obtain and exchange information. Since any users can post …