Yep, we've been using Langit: github.com/rimar1337/la.... The client has changed quite a bit since we first started though.
fun test fork of a Opinionated web client for Bluesky social media - rimar1337/langit
Yes exactly! We've actually forked an existing bsky client to implement a very experimental version of the natural language feedback idea from our paper and have done some user studies with it. Hope to share the results in the near future!
Cool!! Just curious—how is the total # of feeds being counted?
Ah ok, I understand. LLMs are a part of the experimental prototype we developed, but the controls we're testing don't necessarily require the use of LLMs in the end. If you prefer not using LLMs at all, we're planning some future studies that don't involve LLMs, so keep an eye out for those!
The tool we built has an LLM-powered feature but you don't need to know anything about LLMs to participate!
Next @cqz.bsky.socialdl.acm.org/doi/10.1145/... He also discussed how it fits into his broader research trajectory and agenda, as he's headed onto the job market this year!
Thanks! It's funny cause when I posted this paper to Twitter, Community Notes also posted about their new media notes feature, which I think gets at what you're describing: https://communitynotes.twitter.com/guide/en/contributing/notes-on-media. I see a lot of potential for both to be complementary
Community Notes on Tweets that contain images or videos
It was a blast to see this work come into fruition with the C2PA and Adobe's Content Authenticity Initiative, and ofc, @axz.bsky.socialhttps://c2pa.org/https://contentauthenticity.org/ 8/8