#MstdnParty is a great alternative to Twitter, but maybe you're looking for an #Instagram replacement as well...
Well, you're in luck! I've just set up https://pxlfd.plus/ - a free, ActivityPub-enabled #Pixelfed instance for sharing photos with a much cleaner image-focused interface. Since it's all interoperable, you can even follow Pixelfed accounts from Mastodon, give it a try: @jonah
@pixelfed now disables atom feeds and both post/profile embeds for spam accounts, and hides their profile unless you are logged in!
This will not affect new or existing users that create a post that is flagged for review by Autospam unless the post(s) are marked as spam by a human admin.
tl;dr: pixelfed now limits access to human reviewed spam posts and accounts to deincentivize SEO and other forms of spam.
If Mastodon is Twitter, Friendica is Facebook, and Lemmy is Reddit, but they're all communicating together, is there any real need to make different accounts unless we want to try out different features?
@sharan The difference is whether you are a user or a creator.
With the services you choose, it doesn't matter where you are. The situation is different with #Pixelfed#Funkwhale#Peertube etc.
If you are a creator, accounts there make perfect sense. for pure consumption, an account with whatever is enough.
As BGR notices, #Instagram is feeling more and more pressure from the Fediverse -- which is why they've recently started adding features that should have been available a decade ago. I'm talking about GIF comments here.
But if BGR thinks Instagram is facing pressure from #Bluesky and #Mastodon, just wait till #Pixelfed finally releases their Android and iOS apps!
Pixelfed's Advanced Autospam system uses a statistical method called Bayesian inference to detect spam in comments and captions. When the system is being set up, it is trained on a dataset of known spam and non-spam posts.
During this training process, the captions are broken up into individual words (or tokens), and then counted and sorted into the appropriate category (spam or non-spam). This creates a database of weights that the system uses to identify spammy words and phrases.
When the system encounters a new comment or caption, it calculates the weight of each token in the comment, and then compares that weight to the known weights of spammy and non-spammy tokens. Based on this comparison and the weights of the tokens in the comment, the system can predict whether the comment/caption is likely to be spam or not.
By updating its database of spammy tokens over time and adapting to new information, the autospam detection system can become better and better at identifying spam and keeping Pixelfed community free of unwanted content.
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