[prancer_or_vix]

2 questions:

1) What would you expect be implemented to reduce/eradicate doom scrolling?

2) What would making the algorithm public do for us? I'm not an ML engineer, but presumably their algorithm isn't just an algebraic equation where x is how toxic the post is and y is how inflammatory it is and y is the number of kids who will think harder about suicide because of the post.

Maybe I'm just super naive and that _is_ how Facebook made their algorithm, but my understanding is that the algorithm is a little more of a black-box and is a little abstract. How is a lay-person supposed to evaluate something like that?

[iamstupidsimple]

The input to these algorithms are usually human understandable and quantifiable signals like likes, text sentiment, maybe engagement history -- and the output is probably a score than can be ranked. Ultimately though even if the algorithm is a black box (entirely possible it's not ML based!) we can still evaluate it in a lab environment.

Some of the signals might be generated by ML also, like photo labels, but ultimately these things are very understandable if you have the model and data.

[hunterb123]

I don't want them to do anything regarding doom scrolling, it was just an example and came from another user.

I do want them to publish their algorithms and moderation logs so we have insight on how they are serving and moderating content.

I don't care about organic user content, I do care if FB is pulling the strings to make it either more salacious or being biased in one way or another.

I also care if they are banning certain users or content but not others.