Fediverse

I get it. There's some real jerks around here. Whether they're constantly argumentative, downright rude, always acting in bad faith, just plain trolls, overly opinionated on every subject, have the social skills of a Nausicaan, or whatever - the Fediverse is growing, and it's bound to attract toxicity in one way or another.

This post is mostly a PSA for anyone who's feeling like leaving because they're tired of dealing with things like that. I've been there several times myself, I know exactly how you feel, and I'm tired of seeing good people harassed off the platform.

Just remember that blocking is a very powerful way to stay in control of your experience. Be it a set of users, me specifically, a list of keywords, a whole community, or an entire instance: if it's causing you nothing but stress, hit that block button and see if that improves your experience here. Unlike the alien site, there is no limit to the number of entities you can block; you're in control.

Another thing to keep in mind is different instances have different vibes, and the experience can totally differ depending on the instance's moderation and federation policy.

In conclusion, your experience here can be what you make of it; don't be afraid to just block the parts that stress you out. You're not "creating an echo chamber" as everyone likes to say (often in bad faith) -- you're just taking care of yourself.

Hello everyone! This is Elena (@[email protected] on Mastodon), the blogger behind The Future is Federated.

I'm really grateful to see that my blog posts are often shared on here... even old ones (like my Friendica show & tell from last July is still making the rounds).

I just wanted to give you a heads up that I am now self-hosting my Ghost blog at https://news.elenarossini.com/ - the old URLs (with the subdomain blog) will no longer work... that blog, on a Ghost (Pro) plan will be deleted from the Ghost servers this weekend.

All this to say: please update your RSS feeds: https://news.elenarossini.com/rss and if you're trying to open an old URL, just swap "blog" with "news" in the subdomain.

cheers!

Elena

I'll bring you straight into my mind: I was scrolling throught the n-th depressing post of the ~~day~~ hour and I thought "If I answer that post/comment by #negativity, will other people be able to filter out this content using my answer?" If not, how could we build some sort of blocklist for people to curate there experience on the fediverse.

I know I can block key word like "politics" "Trump" "Elon" but sometimes it doesn't have a precised word yet use human can categorise it easily.

Reddit post

Domain is up for auction, would make a nice domain for a fedi instance

I was playing around with Lemmy statistics the other day, and I decided to take the number of comments per post. Essentially a measure of engagement – the higher the number the more engaging the post is. Or in other words how many people were pissed off enough to comment, or had something they felt like sharing. The average for every single Lemmy instance was 8.208262964 comments per post.

So I modeled that with a Poisson distribution, in stats terms X~Po(8.20826), then found the critical regions assuming that anything that had a less than 5% chance of happening, is important. In other words 5% is the significance level. The critical regions are the region either side of the distribution where the probability of ending up in those regions is less than 5%. These critical regions on the lower tail are, 4 comments and on the upper tail is 13 comments, what this means is that if you get less than 4 comments or more than 13 comments, that's a meaningful value. So I chose to interpret those results as meaning that if you get 5 or less comments than your post is "a bad post", or if you get 13 or more than your post is "a good post". A good post here is litterally just "got a lot of comments than expected of a typical post", vice versa for "a bad post".

You will notice that this is quite rudimentary, like what about when the Americans are asleep, most posts do worse then. That's not accounted for here, because it increases the complexity beyond what I can really handle in a post.

To give you an idea of a more sweeping internet trend, the adage 1% 9% 90%, where 1% do the posting, 9% do the commenting, and 90% are lurkers – assuming each person does an average of 1 thing a day, suggests that c/p should be about 9 for all sites regardless of size.

Now what is more interesting is that comments per post varies by instance, lemmy.world for example has an engagement of 9.5 c/p and lemmy.ml has 4.8 c/p, this means that a “good post” on .ml is a post that gets 9 comments, whilst a “good post” on .world has to get 15 comments. On hexbear.net, you need 20 comments, to be a “good post”. I got the numbers for instance level comments and posts from here

This is a little bit silly, since a “good post”, by this metric, is really just a post that baits lots and lots of engagement, specifically in the form of comments – so if you are reading this you should comment, otherwise you are an awful person. No matter how meaningless the comment.

Anyway I thought that was cool.

EDIT: I've cleared up a lot of the wording and tried to make it clearer as to what I am actually doing.

cross-posted from: https://lemmy.world/post/28252147

Fedicast / Podcast: https://audio.firesidefedi.live/@firesidefedi/episodes/dansup-pixelfed-loops-sup-etc

Stats from here: https://lemmy.fediverse.observer/dailystats

Like, has an instance gone down and if so, why hasn't there been a comparable drop in users and comments?

Edit: Thanks to @[email protected] here for pointing to zerobytes.monster becoming more aggressive against bots as the likely culprit.

Is it possible to follow communities in an instance like https://libreddit.kavin.rocks/r/ProfessorMemeology with a lemmy client?

Lemmydocs 7:4 – Thou shall create a blog

Features

• Linked to a user using Lemmy’s API, no authentication
• Host content on any instance
• Category filters: Set one or more community as the categories
• Easy to adapt to your profile
• One page constraint
• Anchor navigation and permalinks
• Responsive
• Dark / Light mode
• No cookies or tracking
• Interactive “about me”
• No backend: serving a single lightweight page that can be hosted anywhere, including GitHub
• HTML, CSS and ES6 JavaScript. That's it.

TODO

• Possible compatibility issues with older iOS devices. Let me know if you encounter an issue! I'll be cleaning up the code in the meantime.
• The only class not written by me is the markdown-html translation layer for which I'm using snarkdown. It does so using regex queries. As to not completely re-invent the wheel I've forked it for this purpose, but I'd like to write one myself.

GitHub | ./Martijn.sh > Blog

I am currently winding down the Mastodon bots I used to post sunrise and sunset times. The precipitating event is that the admin of the instance hosting the associated accounts demanded they be made nigh-undiscoverable, but the underlying cause is that it’s become increasing clear that Mastodon isn’t, and won’t ever be, a good platform for “asynchronous ephemeral notifications of any kind”. I’d also argue (more controversially) that it’s simply not good infrastructure for social networking of any kind. There are lots of interesting people using Mastodon, and I’m sure it will live on as a good-enough space for certain niche groups. But there is no question that it will never offer the fun of early Twitter, let alone the vibrancy of Twitter during its growth phase. I’ve long since dropped Mastodon from my home screen, and have switched to Bluesky for text-centric social media

...

Federation does not work I’m not saying federation “won’t” work or “can’t” work. Merely that in 2025, nine years after deployment, federation does not work for the Mastodon use case.

I could opine at length about possible federated architectures and what I think the ActivityPub people clearly got wrong in hindsight.1 But the proof is in the pudding: Mastodon simply doesn’t show users the posts they ask to see, as I quickly

No idea how I got there but somehow I saw this post somehow on sh.itjust.works, about a prefab house that was found floating in the Pacific. I wanted to comment but the only login I have is on lemmy.world. Notice the post is from The Picard Maneuver, whose posts I've seen many times, and it says lemmy.world above their name.

Lemmy.world has a whitepeopletwitter community but the newest post is 2 months old. This one is from 10 hours ago. Search on the lemmy.world main page for "Minding" turns up a bunch of posts going back months, but this one isn't there.

I thought I understood how federation works but I'm stumped. Is this really a lemmy.world post? If not, what does the presence of "lemmy.world" on it indicate?

cross-posted from: https://lemmy.dbzer0.com/post/41899743

The Majority Report w/ Sam Seder

Jason Koebler joins for a look at the value of a decentralized approach to the Tech industry and social media in providing users a cohesive and interoperable experience.

Just a heads up to those who host. Piefed has been doing some work to keep the sanity of their admins. I'm thinking of removing dms from my instances just because of all this.

cross-posted from: https://lemmy.world/post/28064839

writing down my thoughts for added elements called Video_description_vector and Video_description_vector_history. Video_description_vector is an element that an instance gives to describe what categories a video does and does not belong to and Video_description_vector_history is record of user submissions of what categories they say a video belongs to so that way categories can be removed.

Video_description_vector has sub elements that are format standards, this is done so that so that future potentially better format can be entered into Video_description_vector . I'm working on my recommended standard, so far I have isTrue array that lists what categories the video belongs to, while the isFalse element lists what categories it does not belong to—subjectively. done that way so that isn't a sea of element like "cartoon":True or "action":False . I do know that I need sub-element for music metrics

Below is a made-up example. It’s about the Cleveland Browns, an American football team, doing a fundraiser for charity. Categories like “football” or “sports” are excluded because the Browns are not actually playing football or engaging in sports in the video. { "Video_description_vector": { "recommended_standard": { "isTrue": ["Browns", "Charity", "Cleveland", "ALS", "fundraiser"], "isFalse": ["Sports", "football", "Cincinnati"] }, "future_standard": { "doesnt": { "subarray": { "example": "no" }, "exist": ["Sports", "football", "Cincinnati"] } } }, "Video_description_vector_history": [ { "name": "vidchase", "host": "videovortex.tv", "submitted_date": "11/15/2020", "uuid": "this and everything above can be removed if inside a video.json", "recommended_standard": { "isTrue": ["Browns", "Charity", "Cleveland"], "isFalse": ["Sports", "football", "Cincinnati"] } }, { "name": "composite", "host": "combined.instance", "submitted_date": "4/15/2024", "uuid": "this and everything above can be removed if inside a video.json", "recommended_standard": { "isTrue": ["fundraiser", "Charity", "ALS"] } }, { "name": "Troll", "host": "wrong.info", "submitted_date": "6/9/0420", "uuid": "example", "recommended_standard": { "isTrue": ["sack", "ballz"] } }, { "name": "GoodFaith_but_wrong", "host": "other.instance", "submitted_date": "1/14/2023", "uuid": "example", "recommended_standard": { "isTrue": ["Browns", "NFL", "football"] } } ] }

cross-posted from: https://lemmy.world/post/28011368

So I started by doing research and by research I mean watching two videos on YouTube about basic recommendation algorithms.

I did watch a 30 minute video on Netflix software engineer talking about using machine learning and complex matrix and these bandit style machine learning algorithms to recommend TV shows/movies really the base conclusion is that there's a 50% improve over doing all these complex things over their baseline measurement. Baseline will mean traditional pre neral network based algorithms.

The way I interpret it is that basics take you a long way and all the basics are is just organizing any peertube video into a vector and people watching into a vector as well. The idea would be that which videos are more similar to each other would be good recommendations if a watcher watch one of those videos, or if they didn't like it don't recommend any videos similar to that. Once these videos get vectorized then the watcher's vector can be updated in a basic way more watch time mean its more of what they want and a like would give it a boost, or comment could boost multiplier.

I'd say that the watcher's vector can be stored locally while videos vector is public. It will be a while to figure out a function/algorithm to adapt to watcher. Does the watcher taste change, do they multiple things , should the algorithm adapt fast or slow as new videos come in, novelty/consistency. I don't expect this problem to be solved anytime soon , but the recommendation algorithm will simply evolve and split as to have their own unique benefits and drawbacks.

To start foundation is to start a standard for video vector. Video can be quantified and qualified. There's only a few measurable quantities like video length and existing views. Qualitative attribute of videos like "is it a cooking tutorial, "is it a sports commentary ", or "is it a Livestream VOD" are going to require that the vector be stored in a format that can adapt to the expanding number of dimensions the quality a peertube video can have. Next issue is measure qualities to an actual number is something sports related or sports adjacent would a 1 mean yes or would a 0 mean neutral/agnostic or no.

The last simplist issue would be communicated the algorithm that updates the watcher's vector since that can be done via updates from peertube server or GitHub

cross-posted from: https://lemmy.world/post/28012519

It's been down for me most of today, as far as I can see. Have its admins made any public statements?

Besides lemmy.eco.br, feddit.it and lemmy.pt? Tried looking for but information seems scarce.

Also asking for someone who doesn't speak English, and no need to be Reddit-like instances specifically, so Mastodon, Peertube, BookWyrm, etc. work too.

Thanks in advance!