An Open Source Toolkit for Detecting Coordinated Inauthentic Behavior in Datasets of Online Activity
CIB Mango Tree is a Python-based, iteractive open source toolkit for detecting coordinated inauthentic behavior (CIB) in social media datasets. It is designed for researchers, data journalists, fact-checkers, and watchdogs working to identify inauthentic activity online. For more about the project, visit the project main home page: cibmangotree.org
CIB Mango Tree is a project of Civic Tech DC, a nonprofit community of volunteers using open-source technology to support civic engagement, strengthen democracy, and empower public-interest initiatives.
The latest release is available under Assets in the Releases tab:
Note
Starting with v0.11.0 we have new GUI interface!
The last version to use the terminal user interface was v0.10.2
New contributions are welcome! Before contributing, please check out our Technical Documentation guides. If you are not yet familiar with the project, our New Contributor Guide is the best place to start.
If you are already familiar with the bigger picture, head over to the Installation guide in our docs to see how to setup your development environment.
The Styling Guide is for contributors working on the application's frontend. Its goal is to keep frontend contributions consistent and easier to understand and maintain as the project evolves.
Contributors using AI tools should follow the project AI Use Policy.
This project is licensed under the MIT License.
Required Notice: © CIB Mango Tree