Skip Navigation
InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)PO
Posts
3
Comments
25
Joined
4 wk. ago
  • Yes, same applies to PixelFed. Ice Cubes client doesn't require an account, but it crashes regularly.

    I was hoping to get a better experience in the dedicated official app. There's nothing wrong with that. In a browser even twitter can be accessed without an account (even though unofficially), that's not the point. "Just go to browser" approach can be taken further: "just go to another social network".

  • Mastodon @lemmy.ml
    podbrushkin @mander.xyz

    Mastodon on iOS is walled

    Twitter is criticised for being closed for those without an account.

    1. Download Mastodon official app for iOS;
    2. Launch it.
    3. Congratulations! Create an account or go away.

    I think maybe it would’ve been cool if Mastodon was… open for everyone?

  • Some software solutions exist, e.g. War and Peace by Tolstoy can be downloaded with metadata, ids are assigned to all characters and when one character tells something to another, this is highlighted as “x speaks to y”, and you can run a community detection algorithms on this data. I think in the paper they’ve been mentioning some proprietary software. I suspect detecting who speaks to whom is even harder.

    Also, some form of crowd sourcing probably should be possible. At least collecting scans is possible on wikisource and wikimedia commons.

    Probably AI language models should be pretty good in distinguishing between linguistic ambiguities.

    I dream for a time when such reports as in OP post will be a matter of work for an hour or two — because data will be already collected and clean.

  • This is extremely interesting. How many magazines and newspapers are digitized in the way you can analyze them like that? This is a simple word-based analyze, also those texts can be enriched with metadata, e.g. mentions of people can be marked with their identifiers in Wikidata.

  • It’s solving device addiction with another device. Sure it will be very interesting to investigate phone models to pick from. Indeed we are good at tricking ourselves. Creating “windows” with no phone at all works better for me.

  • Probably there's too small userbase for continuous subscribable block lists. I think I've seen some people sharing their blocklists on anonymous imageboards. When you can import/export block lists as plain text, probably it is enough.

    Consider checking syntax where it's already implemented and adding this import/export functionality.

    A step forward could've been adding some logic: e.g. some keywords are filters for posts, some for comments, some for community/instance name. Maybe complex filtering can make federated "global" feed much more satisfying.

  • Lemmy @lemmy.ml
    podbrushkin @mander.xyz

    Custom filtering of feed by keywords

    I'd like to tweak my feed by hiding all posts containing certain key words, e.g. 'democracy, leftists, murder, liberals, fbi, market' etc.

    Basic use case: Don't like what you see? Select keyword -> click RMB -> "Fitler for a week". Now you won't see any posts with this keyword on any Lemmy instance.

    Is it possible somehow? Maybe a client with this functionality exists? Does it sound useful to anyone but me?

    Data is Beautiful @mander.xyz
    podbrushkin @mander.xyz

    Full Taxonomy Tree according to GBIF

    Clusters are different kingdoms (can you guess which is which?), coloring applied by phylum.

    4,452,270 taxa, made with Graphviz and Gephi Toolkit.