Je vois plusieurs comptes qui me répondent et ça fait toujours plaisir (même quand je ne suis pas d'accord) mais qui n'ont pas rempli leur bio ou fait un pouet de présentation. C'est mieux de le faire, ça prend 2min, allez!
Je vois plusieurs comptes qui s'adressent à moi et qui n'ont pas rempli leur bio ou fait un pouet de présentation. C'est mieux de le faire, ça prend 2min, allez!
The one thing I don't quite get about the #Fediverse is why we even need different software. For example, why can't #Pixelfed just be another - more sophisticated - frontend for #Mastodon?
So, with all the major platforms going to $h1t as they chase the AI hype $$ dragon...
How safe is the stuff we post on #mastodon from data scraping?
I mean, I think there's probably no way to safeguard against it at this point, but for now I don't feel great about posting eg. WIP lyrics and stuff like that on meta platforms, seeing as they have made it clear they WILL be scraping all your posts.
How do people meaningfully search and/or export their #Mastodon favourites? I've been favouriting (not bookmarking) a bunch of useful and/or interesting stuff since I came here, but the data seems difficult to access in a useful way.
When I use my instance's website, there's no search facility on the Favourites page. It only loads a subset of favourites upfront, so without pressing the "load more" button hundreds of times, I can't use my screen reader's find feature either.
When I try the favourites timeline of Semaphore, it also only loads a subset of my favourites, but apparently without a means of loading more of them.
In Mona on iOS, I would likewise have to keep finding, and then pressing, "load more posts".
When I try to find information on the internet about possible qualifiers for searching my own favourites, I get results about API calls and installing Elasticsearch as an instance owner.
In the "import/export" section of my account preferences, it doesn't say anything about favourites, and doesn't make it clear whether my posts archive would include them.
I actually have no idea how many boosts and favs some of the most successful posts get here in the Fediverse, because my instance shows a fraction of them no matter how successful they are. But guess what? I don’t care! It’s the best part here, to effectively unlearn that like-craving social media trait.
Everyone likes ”likes”, but in here it happens in our own terms and overall the metrics don’t really matter in the end.