I’ve noticed that the current sorting algorithms prioritize posts based on votes, which can sometimes lead to posts with high votes but few comments dominating the feed. This may not accurately reflect user engagement. On the other hand, sorting by “Most Comments” disregards votes entirely. I believe Lemmy should consider taking into account multiple user engagement metrics in their algorithms like comments, votes, time spent on a post, etc. What are your thoughts on this? Would you prefer a new sorting algorithm that combines various metrics, adjustments to existing algorithms to include more metrics, or do you like the current sorting algorithms available the way they are?
The problem with allowing third party apps is that it becomes very hard to implement things like time on post. All the app developers would have to implement it for it to become useful and they would have to do it in a consistent way. It would also be (IMO) a step towards the level of spying that seems to be standard in social media.
Well, that would only be implemented if it were offered by the API; otherwise, just use what is available right now, which are votes and the number of comments. I find it more invasive that other users can see the post history in my profile than admins being able to see the amount of time I spend reading each post. Revealing my feed feels akin to exposing my browsing history.