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. IEEE Access, 11:125861-25873, ISSN 2169-3536, November 2023. DOI: 10.1109/ACCESS.2023.3331220

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