media-disinfo-simulation

What problem does it solve?

Disinformation research often lacks a safe, reproducible sandbox to study information operations and network propagation without enabling real-world harm. This skill provides a controlled, testable framework to model IO campaigns using a graph-based approach and predefined seed narratives, allowing researchers to test detection and mitigation strategies.

Core Features & Use Cases

• Graph-based IO campaign simulation using NetworkX
• Anchor narratives and seed narratives to study propagation dynamics in a controlled environment
• Evaluate detection and mitigation strategies on synthetic datasets for training and evaluation

Quick Start

Load a campaigns.json file into the workflow and run the simulate.py script to generate an influence network and basic statistics.