Bluesky Research

Installation

This project uses Anaconda for package management. To create a new virtual environment, we can run something like the following (this project uses Python=3.10):

conda create -n bluesky-research python=3.10

Then, activate the virtual environment:

conda activate bluesky-research

Finally, install the packages:

pip install -r requirements.txt

Helpful project links:

• Perspective API: https://developers.perspectiveapi.com/s/about-the-api-attributes-and-languages?language=en_US

• atproto (Python package for Bluesky API): https://github.com/MarshalX/atproto

  • Docs: https://atproto.blue/en/latest/
  • atproto object defs: https://github.com/MarshalX/atproto/blob/main/packages/atproto_client/models/app/bsky/actor/defs.py
  • atproto schemas: https://github.com/bluesky-social/atproto/tree/main/lexicons/app/bsky/feed

• Bluesky Python code examples

  • https://github.com/kojira/bluesky-chan/tree/main
  • https://github.com/snarfed/lexrpc
  • https://github.com/Bossett/bsky-feeds
  • https://github.com/bluesky-astronomy/astronomy-feeds
  • https://github.com/MarshalX/bluesky-feed-generator
  • https://github.com/whyrusleeping/algoz
  • https://github.com/snarfed/arroba/blob/main/arroba/did.py

(Community-made) Bluesky new user onboarding DID record lookup

We can possibly inspire our implementation of the recommendation algorithm based on Twitter:

• Twitter algorithm repo
• Twitter algorithm press release