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.
This is awesome. I believe difference from client-side filtering is that filters will work everywhere you login with your account. Do you happen to know estimated 1.0 release date?
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.
Not quite. I’d rather use Lemmy in web browser on desktop. Right now, I’m looking through these app lists: https://www.lemmyapps.com/ https://join-lemmy.org/apps https://lemmy.world/post/2609614 .
Photon, Alexandrite, mlmym are not supporting filters, but blorpblorp supports.
I see it exists on Voyager for iOS
Thank you, but I don’t have an Android.
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.