A Chrome extension that looks out for and blocks extremist content! Using the HTML content of visited sites, Canary will send that data off to the Google Vertex API and will use the LLM to identify if a page contains extremist content.

A simple Python script for generating a series of network graphs based on a users connections with the wider network.

Python tooling for the creation and use of a binary classification model for identifying far-right extremist text posts on the Parler social network.

A tool for comparing user profiles and returning a confidence score.

A text editor for extremism researchers allowing you to filter out violent or sensitive text.

A pre-trained model for identifying the topic of news articles.

A tool for quickly obfuscating sensitive, violent, or extremist text to protect the researcher or analyst viewing the content.

A repository of scripts and tooling for the processing of Parler social media data for the purpose of academic research.

A Python script that can be provided with a JSON configuration to identify websites that fit a specific category or criteria.

A pre-trained model for LDA topic modelling. Customization options so that the model can be re-trained, however, has been trained by default for online data (Specifically news articles).