Hi, my post is focusing specifically on YouTube since I observed the following categories have less intrusive solutions or privacy focused solutions, even if they are paid:

  • Operating Systems (Linux, for example)
  • Instant Messaging (Element, for example)
  • Community Messaging (Revolt, for example)
  • E-Mail (Proton, for example)
  • Office (libreoffice, for example)
  • Password Managers (Bitwarden, for example)

However, how do we distribute videos and watch them without data collection? I am NOT asking how do I use a privacy-focused front-end for YouTube, by the way, I am aware they exist.

I am wondering how we obtain a FOSS solution to something super critical such as YouTube. It is critical since it contains a lot of educational content (I’d wager more than any other platform), and arguably the most informative platform, despite having to filter through a lot of trash. During COVID, we even saw lecturers from universities upload their content on YouTube and telling students to watch those lectures. (I have first-hand experience with this at a respectable university).

I refuse to accept that there is nothing we can do about it.

  • magic_lobster_party@kbin.run
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    4 months ago

    Recommendation systems don’t need to be that complicated. In its base form it’s just a list of videos you’ve watched (or content creators or topics). It can then be compared with the watching lists of other people to get an idea of what else you might be interested in. No need for any advanced video recognition.

    Maybe this list is isolated within a single instance. Maybe it can be shared between instances. Different instances might use different recommendation systems.

    Again, it might not work as well as YouTube’s, but I don’t think it needs to.