Overview

CIB Mango Tree is a Python-based, 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 manipulation and inauthentic activity online.

Through an interactive terminal interface, users can import datasets, check data quality, create analysis projects, and explore results in interactive dashboards without having to writing code. This makes peer-reviewed CIB analysis methods accessible to users with little to no programming experience.

The welcome screen of the application

Tech Stack

CIB Mango Tree relies on the following packages and data science tooling from the Python ecosystem:

Domain	Technologies
Core	Python 3.12, Inquirer (TUI), TinyDB (metadata), Starlette & Uvicorn (web-server)
Data	Polars/Pandas, PyArrow, Parquet files
Web	Dash, Shiny for Python, Plotly
Dev Tools	Black, isort, pytest, PyInstaller