On KBin we have the ability to add tags to posts. These can either be directly added using the “pound” sign octothorpe, as in #KbinMeta. You can also add tags using the “Tags” field when creating an article, link, or photo. The second method will append the tags to the end of the post when the post is federated.
This is invaluable for your post to be seen on other platforms, especially those without any algorithms, such as Mastodon.
KBin magazines can also have tags associated with them. This will associate content from the Fediverse that uses those tags with the magazine. Also, very useful for smaller magazines.
If you want to view content related to a specific tag, you can visit <Kbin instance>/tag/<name of tag>, ie: https://kbin.social/tag/kbin
Pleas tag you posts!
Edit:
Fixed some controversial terms: octothorpe
This is where LLMs like GPT should be applied. Parse a post and recommend tags based on the content, allow the user to just select which ones to use. This is how we leverage these models.
The mastodon fedi would cry over what you’re saying, but yes we really need suggestion algos in the fedi for it to be successful.
No. The best way to target your audience is to pick your tags manually. If you ask an AI what is the best tag then it will answer you “Trump”, pick it and surely your post will be discovered.
The thing is if you train your AI to return the right tags, then it means that you ALREADY know the tags yourself. Therefore you can already do it yourself.
@PabloDiscobar Or, it could do both, AI can recommend you tags, but you can select or enter in a custom tag.
@asteroidrainfall @astrsk