• 0 Posts
  • 7 Comments
Joined 1 year ago
cake
Cake day: June 13th, 2023

help-circle



  • Gonna ignore all context for the purposes of answering / contributing to a discussion of a kinda valid underlying question:

    There is a disconnect between moderation and membership in an ostensibly democratic social media structure. How could that gap be bridged?

    The way I see it, this is basically the representation vs delegation debate, though here it is arguable whether there is even representation. From this perspective, you can draw on a couple of hundred years of theory and practice to arrive at potential structures.

    For example, you could have a system where members of a community mark themselves as willing to moderate it, and all members select a willing delegate essentially their ‘moderating power’ to. Mods are then selected by number of delegations, which would be a fluid process because users can redistribute their ‘votes’ at any time. This would make mods immediately answerable to the members.

    To make the system less vulnerable to hijacking you would probably need some kind of delay in there so that you wouldn’t suddenly get a mass influx of new users delegating to the same mods to take over the community, and there would likely need to be other measures in place as well. But it would certainly be a neat experiment!

    (Just to note, I am not saying the current moderation model is necessarily bad, just figured it would be interesting to consider alternative approaches and have a look at what possible problems there might be in both the current model and any such alternatives.)



  • It’s pretty well established academically that basically the only way KPIs can actually work toward their intended purpose is if they are changed often and determined by the people doing the work that is ultimately measured. Ongoing measurements should only ever be used as indicators - hence the term *key performance indicators_ - and should never be used as targets. What that means in practice is that you should generally ignore all the individual metrics, and look across all of them instead to see if you can spot trends and anomalies, then investigate these qualitatively with the workers who ultimately produce those data to figure out what is happening and if any intervention is necessary.

    The problem is that the higher up you get in the hierarchy, the less of that kind of work there is to do and you end up chasing the people below you for nice numbers to plot into your presentations to make it look like there’s a point to your job’s existence.