Algorithms can help, of course. But the problem is mainly a human one.
Seems like the more objective the process can be shifted (by moving away from human decisions), the more effective/fair the process becomes.
Anyway, it sounds like you may work in this space, and, therefore, might have further insight, which I am very interested in hearing about.
It is definitely an Achilles Heel for social media platforms.
The way you get reasonable consistency, whether it's humans or machines, is by establishing clear standards, using them for training, and then continuously monitoring results. It's not perfect, of course. But nothing is.
“Five million people were active on Parler on Monday, which Mr. Matze wrote was an 8-fold increase in user engagement from the previous week.”
https://m.washingtontimes.com/news/2020/nov/10/parler-says-i...
This doesn’t seem like a problem that could be solved with more human eyeballs.
This whole "Parler can be better than Facebook because they are smaller" argument is just as illogical as it sounds.
Also, you don't thin smaller groups, companies, whatevers are easier to control?
If Twitter and Facebook (being multibillion dollar companies with a decade or more to build these algorithms) haven’t solve this problem yet, how can any upstart possibly compete with them? They’d be shut down as soon as users started posting content on their fledgling services.