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Joined 2 years ago
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Cake day: February 6th, 2023

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  • word clouds will find when a corpus of hashtags is similar in meaning. If you use only hashtags, that’s like experiencing a grocery store or farmers market via an ambassador who cannot see the serendipitous shops that are nearby, the things frequently seen together. It’s like shopping in an app and never visiting the grocery store itself. Having a precision following list means you can’t experience going to a library and browsing shelves until something catches your eye - serendipitous search is fundimentally different from subscribed/reposted delivery, or even keyword search.

    computers and digital space don’t natively have the metric for which hashtags are closer, so they have to crunch the numbers to help figure out which books are closer to other books. Otherwise it’s like entirely separate universes that you’ll never ever find, like if you never knew a word that would lead you to a community of much more words and concepts and free thought.












  • Two examples:

    when you’re browsing your follows on mastodon, and click on their follows, the list is not true to their follows (because your server hasn’t fetched them).

    and, when you first subscribe to someone’s posts, you can’t see older posts (say they’ve got 100, but you see zero).

    I’m aware that there are technical reasons (you weren’t subscribed), and open source reasons (nobody has the time to volunteer to fix it), but these are insufficient to help an anxious new user who’s undecided about the platform.

    That’s only Mastodon, which has 7 years of refinement. Don’t get me started on the litany of federation-related edge cases of Lemmy’s UX failings.






  • if the upvotes/downvotes are part of a user feed… you could probably do some crunching on “repeated brigading posts”… but part of me is going… wouldn’t it be interested to make buckets for how similarly people’s opinions line up.

    like… “subtract out the folks who just vote no on anything positive with MacOS”, e.g., the herd gets grouped and gets lesser power.

    or… “rank a user that usually downvotes stuff in this group but suddenly upvoted it higher” (like neural exhaustion). So the more an account /just upvotes/ and it becomes tired due to the link between that user and those keywords.