• 2 Posts
  • 10 Comments
Joined 1 year ago
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Cake day: June 23rd, 2023

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  • Other than general assumptions and track-record and being a business that sells user data, is there any actual evidence or clear and present ways that Meta could do harm to the Fediverse / its users?

    All I’ve read is that it seems suspicious and we shouldn’t trust them. I totally agree with that but I’d like someone to give some examples of what they could do as a member of the network. I’ve read how they could post advertising – how would that work?

    I ask because, like the previous comment, the idea of following people from other, more popular, federated platforms from the comfort and security of “open source” (?) platforms is appealing. At the same time, if this is leaving me and my platform vulnerable to something specific, I’d like to either proceed with caution or not proceed at all.

    The biggest loss for me when leaving Twitter was losing access to so much happening in my community and local news and government organizations. They’re all still posting on Twitter and Facebook and Instagram and not moving to the open social web. More and more are moving to Threads though so it would be nice to maintain / regain exposure.









  • This seems plausible so I tried other browsers and computers on my network.

    Edge, Firefox, Brave, Arc, and DuckDuckGo all showed the same page on Ebay with “Trending in Sneakers” and “Trending in Watches”. I was searching for sneakers recently but not watches.

    Orion is the only one that showed “Your Recently Viewed Items” with specific items I was looking at in Safari. I went ahead and chose “Reset Orion” from the menu and see it’s now operating the same as the other browsers.



  • Reddit has been generic for several years now. It’s, mostly, addictive trash content. I miss individual subs but the algorithm for popular / front page posts is doing the same thing every other social platform is doing. If that’s your jam, go for it. I value my time enough that I don’t need to be entertained by an algorithm. I hate it. A lot.