this post was submitted on 20 Jun 2023
15 points (100.0% liked)

/kbin meta

4 readers
1 users here now

Magazine dedicated to discussions about the kbin itself. Provide feedback, ask questions, suggest improvements, and engage in conversations related to the platform organization, policies, features, and community dynamics. ---- * Roadmap 2023 * m/kbinDevlog * m/kbinDesign

founded 1 year ago
 

How important are tags in Kbin for engagement in posts? Are they vital, or just useful in spreading a post?

top 9 comments
sorted by: hot top controversial new old
[–] kubica@kbin.social 3 points 1 year ago* (last edited 1 year ago) (1 children)

They are more of a concept coming from mastdodon type of posts.
But currently there are no lists or possibilities to subscribe to them here.
So you/we can use them and navigate but with certain limitations.

For my liking kbin is lacking lists so that not all follows have to be seen mixed in a single place.
In such lists if they existed it would be awesome that there could be subscriptions to both communities and tags.

[–] Teppic@kbin.social 1 points 1 year ago* (last edited 1 year ago) (1 children)

True, but I think they make it easier to find posts originating here on kbin using say Mastodon.

There is also a difference between Posts and Articles here which I haven't fully fathomed - I think perhaps articles are more Mastodon compatible, while posts are more aligned with Lemmy... But hopefully somebody more enlightened will provide more detail and/or correct me there!

[–] boothin@kbin.social 2 points 1 year ago (2 children)

Other way around! Articles are the reddit/lemmy like content while posts are what go to the microblog and are the mastodon/Twitter like content.

[–] SweetAIBelle@kbin.social 1 points 1 year ago

In some cases, literally mastodon content. If you are on mastadon and you put @magazine@instance in your post, it shows up on that magazines microblog, on kbin, at least.

[–] Kaldo@beehaw.org 0 points 1 year ago (1 children)

I think articles can also be read on Mastodon though, while other types of threads like url/image/... don't show up there.

[–] boothin@kbin.social 1 points 1 year ago

Hm yeah seems so, so an article can be read on kbin, lemmy, and mastodon... while a post will be in kbin microblog and mastodon but not lemmy? And the other threads are on lemmy too

[–] cjerrington@kbin.social 3 points 1 year ago

Tags are a way to help spread the microblog or thread type into the fediverse and searchable as well. While on mastodon, I can see a microblog or thread post type of article, link, etc, it'll show the tags, but the posts do not appear in the same tagged way a post from mastodon with a tag does. I think this is a bug for now.

If you are on a Mastodon instance and follow a kbin.social user for example, you will see their posts and comments to on kbin and can interact still on the same thread in kbin for example.

[–] retronautickz@fedi196.gay 3 points 1 year ago (1 children)

Tags are essential in the Fediverse because there's no algorithm here. No "suggested" follow or posts. Post ( I'm talking about microblogging mostly) appear in chronological order solely. So if you want to search for toots/posts/microblogs of an specific topic, or connect with people that share a similar interest with you (outside of communities/magazines/groups), tags are the only option.

[–] ach@feddit.de 1 points 1 year ago* (last edited 1 year ago)

You're confusing something. Hashtags matter because there is neither a global nor an instance-level full-text search on many platforms (especially Mastodon), only one for your own "storage" (timeline, favs, bookmarks, boosts). Lemmy and kbin have an instance-level full-text search, though.

As long as one person follows the author or discovered a post, it becomes visible via its hashtags to everyone on the same server. That's why you receive a warning if you write an unlisted post with hashtags, since they wouldn't work.

What you refer to as algorithm would be applied afterwards. It would collect, sort, filter, or transform those discovered posts according to settings or a generated profile (another algorithm).

load more comments
view more: next ›