Feuerfest

Just the private blog of a Linux sysadmin

One big step for Mastodon to rule the social media world

Photo by Jonathan Cooper: https://www.pexels.com/photo/animals-head-on-exhibition-9660890/

For years Mastodon had one prominent missing feature. You wouldn't see all replies to a toot (that's the term for "Tweet" in the Mastodon world) because of the federated nature of Mastodon. There were exceptions, but in general it means that you have to open the post on the Mastodon instance it originated from. Only then you would be able to read all comments.

Naturally this feature was sought after for years. One GitHub issue was opened in 2018 (Mastodon #9409: Fetch whole conversation threads).

Now it seems the biggest technical part has been resolved! In Mastodon #32615: Add Fetch All Replies Part 1: Backend user sneaker-the-rat did all the basic work to incorporate that functionality into the backend of Mastodon. And while he mentions that there is still work to do the Mastodon community so far seems happy that this issue is finally getting fixed providing a much smoother experience for everyone.

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Every recommendation algorithm, ever

Photo by Tima Miroshnichenko: https://www.pexels.com/photo/a-computer-monitor-5380589/

Algorithm: Yo, look here! On the start page! A recommendation for a movie/video/song/article from a genre you've never watched/listened to/read! But it's one of our own productions!

Algorithm: Or content you've already consumed 4 weeks ago. You surely like to re-consume it again while that memory is still fresh, right?

Algorithm: On the other hand we have content you rated with a "Like" years ago. - But we completely ignore your recent interests and likes when proposing those.

Me: Uh, where is the notice about this new piece of content, which was released today, from the series I'm watching since months and always consume each new part directly on the day of its release? Do I really have to use the search?

Algorithm: Uh.. Can I interest you in some World War documentation?

*sigh* Every. Single. Time.

Folks! Don't declare your algorithm helps users finding new interesting content, when all it does is advertising.

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