I'm happy to see word spreading around that labelers are doing a great job against bad actors.
If anyone's worried about those bad actors making their own unfair labelers to fight back, just an FYI—Bluesky has guidelines in place to combat that 🙂
Services can be created to apply labels to posts or entire accounts. For example, I created @aimod.social. If you go click subscribe, you can configure whether to hide posts and accounts that we’ve labeled as ai imagery 🙂
Anyone can create a service and apply labels, and there are guidelines.
The guidelines are in my screenshots above, but the gist is that labels should be factual and non-abusive. That way a user can make their own decisions on what to filter based on consistent and reliable labeling. 🙂
Yeah I think the part that confused me is I didn't know accounts could be labeled! And I think I do follow that ai one you made! 😊 techy stuff like this isn't always easy for me to understand lol like I still don't really understand feeds 😅
yeah, bluesky does a good job keeping the complexity away from users who don't want to fiddle with those things, but they're also offering features that aren't so familiar, so there's still a learning curve. If you have any questions, let me know, I'm decently versed in most of their features 🙂
Labels are fantastic.
I am subscribed to @aegis.blue, which just auto blocks homophobes and transphobes, as well as many other unsavory groups, starving them of attention until they decide to leave.
