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MCWDST

MCWDST: a Minimum-Cost Weighted Directed Spanning Tree for Real-Time Fake News Mitigation in Social Media

Article:

Ciprian-Octavian Truică, Elena-Simona Apostol, Radu-Cătălin Nicolescu, Panagiotis Karras. MCWDST: a Minimum-Cost Weighted Directed Spanning Tree for Real-Time Fake News Mitigation in Social Networks. Arxiv, 2023. Link: https://arxiv.org/abs/2302.12190

Folders

  • models - contain the Deep Neural Networks for the Fake News Detection
  • website - contain the web application
  • SparseShield_NIvsHS - contain the source code for SparseShield

Code

Packages needed:

  • networkx
  • all the packages required for SparseShield
  • read the Readme.md in the webapp for all packages required in for the web application

Utilization

Run: python3 mcwdst.py

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MCWDST: a Minimum-Cost Weighted Directed Spanning Tree for Real-Time Fake News Mitigation in Social Networks

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