Skip to content

twitter-backup/communitynotes

 
 

Repository files navigation

Twitter Community Notes

Welcome to Community Notes's public repository

This repository holds the source code and content for our documentation website, the source code powering Community Notes under the hood, our research paper, and is a place for us to transparently share updates about the program.

About Community Notes

Community Notes aims to create a better informed world, by empowering people on Twitter to add helpful notes to Tweets that might be misleading.

Currently, Community Notes is in pilot mode for people in the US. We're building it in the open, with the public’s input, and we’re taking significant steps to make Community Notes transparent.

Sign up and become a Community Notes contributor

Our goal is to expand Community Notes globally. We want anyone to be able to participate and know that having contributors with different points of view is essential to Community Notes helpfully addressing misinformation. We’ll draw on learnings from this initial test and, over time, scale safely.

Sign up here

How to contribute to this repo

We welcome Pull Requests with fixes or improvements to our ranking source code as well as the Guide documentation content.

You can also talk directly with the team building Community Notes on Twitter, at @CommunityNotes.


Guide source code

Our static documentation site (called "Community Notes Guide") is built with Hugo, using the Hugo Geekdoc theme. Follow the instructions on the Hugo website for downloading and running Hugo.

Community Notes source code

The algorithm that powers Community Notes can be found on the sourcecode folder, and isntructions on how to use it can be found in the Guide

Community Notes data

All notes and ratings are publicly available. Instructions on how to use them can be found in the Community Notes Guide.

Community Notes paper

We've published a paper that details the research, analysis and outcomes that informed the program's development and helped us understand its performance. You can find it here.

Releases

No releases published

Packages

No packages published

Languages

  • Python 46.5%
  • CSS 37.3%
  • HTML 15.1%
  • JavaScript 1.1%