twitter / twitter/communitynotes
Get notified if accepted note ultimately gets removed
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- Python
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Description
Is your feature request related to a problem? Please describe.
Today X does notify readers if a note was added to a post to which they replied, liked or reposted. Now picture the other way around: thousands of readers may have seen a post with a Note rated helpful (e.g. in first hours of the tweet), but that Note still can get rejected in the following hours (per footnote here). The problem is that these initial readers have context which was de-ranked, and are not made aware of it.
Describe the solution you'd like
A similar notification in the case the accepted Note changes and/or is deleted. That way users who interacted with the initial post are at least aware of the update and receive (eventually) the highest rated context.
Describe alternatives you've considered
Good question. I guess perhaps a reply-tweet from a Community account, that explicitly calls out the modification on what was so far the active note (and which, I suppose, may appear on the timeline of folks who engaged with the ranked tweet at first).
Additional context
X conversation here (originally in French): https://twitter.com/nicoallgood/status/1694718054951997831?s=20 . Tweet quoted in the top tweet has very high engagement, and initially had a note that was then removed the next day.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the linked Community Notes notification guide and the issue's examples of notes being removed after appearing helpful. Define which users and note changes should trigger a notification, then verify that the behavior covers accepted notes that are changed or deleted.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100