Suppressing the Spread of Fake News Over the Social Web of Things: An Influence Maximization-Based Supervised Approach-Reference-Cited by-同舟云学术

Suppressing the Spread of Fake News Over the Social Web of Things: An Influence Maximization-Based Supervised Approach

Published:2023-10 Issue:4 Volume:9 Page:20-25
ISSN:2333-942X
Container-title:IEEE Systems, Man, and Cybernetics Magazine
language:
Short-container-title:IEEE Syst. Man Cybern. Mag.

Author:

Deb Nabamita¹^ORCID,Kollu Archana²,Alferaidi Ali³,Alkwai Lulwah M.³^ORCID,Kumar Pankaj⁴^ORCID

Affiliation:

1. Department of Information Technology, Gauhati University, Assam, India

2. Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research, Maharashtra, India

3. College of Computer Science and Engineering, University of Ha’il, Ha’il, Kingdom of Saudi Arabia

4. Department of Computer Science & Engineering, G. L. Bajaj Institute of Technology & Management, Uttar Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6745853/10285462/10285547.pdf?arnumber=10285547

Reference18 articles.

1. Privacy-Preserving Traffic Monitoring with False Report Filtering via Fog-Assisted Vehicular Crowdsensing

2. Secure Optical Communication Based on Cluster Chaos Synchronization in Semiconductor Lasers Network

3. Common Message Acknowledgments: Massive ARQ Protocols for Wireless Access

4. Design of False Data Injection Attack on Distributed Process Estimation

5. The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions

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1. Enhanced Fake News Detection With Natural Language Processing;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

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