I think recommendation algorithms and advertising are separate things, however think with defaults and when it comes to what specific data is collected, where do you draw the line? Absolutely no recommendations at all based on an algorithm? Would you say using your ‘like’ history to recommend you more videos is okay? What about watch history, or save history?
Same question can also be asked about where you draw the line on advertising. Just say Youtube showed ads purely based on your video like history, would that be creepy?
I think we can all draw the line at location history, how long you linger on a post, etc. I’d like to know your thoughts on where you’d draw the line for both advertising and content recommendations. (This is two questions)
Sorry that this post is horribly formatted. I’m tired, acoustic and had a shower thought 😝
Baseline requirement is that the algorithms should be open-source, user-customizable (filters), and subject to legal regulations (eg making sure they don’t cause increased depression and suicides in preteen girls)
Basically what Lemmy has (new, hot, controversial, etc)
I strongly support an opt-in model. You are given a list of ‘tags’ that denote content and that are most popular, and you can add them to your home feed. The unselected tags simply show the most popular posts of the most popular unselected tags.
That’s the system I think of at a glance, which I can already think of ways to game with bots, but I think there are likely much smarter folks out there who can work on solving those issues.
I prefer more granular control. I appreciate “controversial” and “sort by date” and “top post for past week/month/year”