Thank you for your interest in contributing to The Impartial Machines Project 🎉!
We are working with the community to help deliver a Dual AI Engine which tries to eliminate the potential influences/bias in the news by the means of similarity indexing and version control and helps connect the dots in facilitating the dissemination of impartial news conforming to the highest code of ethics possible.
We are working open because we believe that news should be non-influential to circumstances, operate independently from any influences/bias and should be prioritized based on the importance, free of any ulterior motives and validated by employing a proper community feedback loop.
- Participation guidelines
- What we're working on
- How to submit changes
- How to report bugs
- Communication channels
This project adheres to a code of conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to [email protected]
- Understand Natural Language Processing to identify the headlines being generated from multilingual and multiple sources
- Identify frameworks for implementing the proposed similarity check model
- Incorporate Version Control System in order to cache the news content and check for further deviations on the similar topic historically
- Collect databases (datasets) and construct mechanism for community based news collection
- Develop crowdsourced algorithm to improve the Similarity check mechanism
Once you've identified one of the issues above that you feel you can contribute to, you're ready to make a change to the project repository!
- Fork this repository. This makes your own version of this project you can edit and use.
- Make your changes! You can do this in the GitHub interface on your own local machine. Once you're happy with your changes...
- Submit a pull request. This opens a discussion around your project and lets the project lead know you are proposing changes.
First time contributing to open source? Check out this free series, How to Contribute to an Open Source Project on GitHub.
Please stay on the lookout for can any potential issue that might cause problems for the project. These could be problems in code (if you’re creating software), content omissions or copy errors (if you’re creating a learning resource), or any issues with the functionality or design of your project.
Notice a mistake? Please file any bugs, requests, or questions in our issue tracker!
Reach out to us at [email protected] (or) [email protected]