Could be a good feature to add to PieFed, which is built on Python specifically to allow more developers to have access to building extensions and plugins.
Programming language isn’t a problem as much as the mechanics of the implementation.
I mean, how does it work on Twitter? Do they have oldschool language models parse upvoted comments and automatically generate it? Basically the options are:
Involve some kind of ML model for partial automation, which is not going to go over well with Lemmy users.
Leave the UAC completely to mods, which is going to both overburden them and make power-tripping issues far worse
On old Twitter, community notes was simply a function of raising a flag for tweets that got ratio’d. This would open those tweets up for Community Notes users to submit a fact check. Then, the fact check with the highest upvotes gets displayed as the default one.
Now? Not sure. Elon is a sneaky fucker. But I do think it could be implemented as a simple comment queue that admins and moderators could set user roles to help with.
Getting ratioed isn’t an reliable indicator though (see this post).
I guess there could be a “misleading” button that triggers a Community Notes section, but complicating the UI like that could push away many participants…
Maybe there should be a button to “mark” a comment as a correction during the posts, and if it gets enough upvotes it becomes visible under the title? That could work. Some useful comments might not get properly marked, but I think many would.
One issue is Lemmy comments are typically too long to fit under a title, so the “correction” comment would need its own structure: a short correction that fits under a post title, and context that lives in the comment section.
Could be a good feature to add to PieFed, which is built on Python specifically to allow more developers to have access to building extensions and plugins.
Programming language isn’t a problem as much as the mechanics of the implementation.
I mean, how does it work on Twitter? Do they have oldschool language models parse upvoted comments and automatically generate it? Basically the options are:
Involve some kind of ML model for partial automation, which is not going to go over well with Lemmy users.
Leave the UAC completely to mods, which is going to both overburden them and make power-tripping issues far worse
On old Twitter, community notes was simply a function of raising a flag for tweets that got ratio’d. This would open those tweets up for Community Notes users to submit a fact check. Then, the fact check with the highest upvotes gets displayed as the default one.
Now? Not sure. Elon is a sneaky fucker. But I do think it could be implemented as a simple comment queue that admins and moderators could set user roles to help with.
Getting ratioed isn’t an reliable indicator though (see this post).
I guess there could be a “misleading” button that triggers a Community Notes section, but complicating the UI like that could push away many participants…
Maybe there should be a button to “mark” a comment as a correction during the posts, and if it gets enough upvotes it becomes visible under the title? That could work. Some useful comments might not get properly marked, but I think many would.
One issue is Lemmy comments are typically too long to fit under a title, so the “correction” comment would need its own structure: a short correction that fits under a post title, and context that lives in the comment section.