Corpus ID: 222378614

A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media

@article{Sharma2020AGN,
  title={A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media},
  author={Shakshi Sharma and R. Sharma},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.07647}
}
  • Shakshi Sharma, R. Sharma
  • Published 2020
  • Computer Science
  • ArXiv
  • Online Social Media platforms (such as Twitter and Facebook) are extensively used for spreading the news to a wider public effortlessly at a rapid pace. However, now a days these platforms are also used with an aim of spreading rumors and fake news to a large audience in a short time span that can cause panic, fear, and financial loss to society. Thus, it is important to detect and control these rumors before it spreads to the masses. One way to control the spread of these rumors is by… CONTINUE READING
    1 Citations

    Figures and Tables from this paper

    References

    SHOWING 1-10 OF 42 REFERENCES
    Deep Structure Learning for Rumor Detection on Twitter
    • 7
    Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
    • 15
    • PDF
    A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone
    • 4
    • PDF
    Detection and Resolution of Rumours in Social Media
    • 284
    • PDF
    RumorSleuth: Joint Detection of Rumor Veracity and User Stance
    • 3
    Rumour veracity detection on twitter using particle swarm optimized shallow classifiers
    • 12
    Detecting Spammers on Twitter
    • 733
    • Highly Influential
    • PDF
    Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection
    • Sooji Han, Jie Gao, F. Ciravegna
    • Computer Science
    • 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
    • 2019
    • 2
    • PDF
    The Role of User Profiles for Fake News Detection
    • 23
    • PDF
    Prominent Features of Rumor Propagation in Online Social Media
    • 373
    • PDF