Welcome to RumorMill

A directory and implementation of SOTA bias detection research papers, all in one place.

RumorMill was founded and is maintained by ML researchers of Ethical Spectacle Research and The Vector Institute.

RumorMill is an open-source collection of resources, such as:

  • Research papers

  • Blogs and videos

  • Datasets and models

Ethos: Bias-detection research should be accessible to users and developers of all levels.


🛠️ RumorMill Toolkit

Here are a few tools we built for using state-of-the-art models in practice, something for everyone :).

Fair-ly Extension (Pending Renaming)

Our Chrome extension, Fair-ly, is a showcase of SOTA models. Anyone can run a bias analysis pipeline/dashboard on their webpage, no code required.

It was created to open-the-door for new people to bias detection technology, by demonstrating it's strengths and weaknesses. The tasks it's intended to preform are:

Try this interactive demo for a quick look:

If you're interested in contributing to the open-source tool-kit, check out our GitHub and join our Discord.


🧠 Learn

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