

This discussion is already shaping/changing my perspective. I plan to have a closer look into the moderation panel, but for a scientist to have years of experience in all application contexts they might apply their techniques is just unrealistic. We have to make do with reading and communication (that’s why I am doing this) or team up with people that have this experience.
I don’t understand how registration applications would stop a bot from registering, LLMs can just produce the registration text. Another concern is astroturfing by state actors, e.g, the famous Internet Research Agency, which might be human, but churning out propaganda en masse. They would have no problem overcoming these countermeasures.
As for AI-generated content, which carries the danger of scaling up much more rapidly than paid human actors, a conservative estimate for Reddit in '22-'24 mentions percentage sometimes reaching 9%. As for how much the different “troll factories” produce, I don’t know how to even measure it, but surely the governments payrolling these people expect them to produce content. I’d hypothesise that
(a) This will become worse in the future.
(b) Lemmy is not as affected at the moment because it is not as commercially and politically relevant as Reddit or Twitter.
So that’s why I am thinking about ways to counter this. Lemmy is a nice environment to test countermeasures because I can modify the source code and run an instance. For Reddit, we had to do some ugly JS trickery.
Maybe there is some way to counter this without ID verification, but the related Sybel problem has been studied for a long time, with identity validation the method being most prevalent.
I guess it boils down to: is astroturfing that much of a problem that we need all the risks that EUID introduces (from the practical perspective of a user, where the mathematical guarantees might not mean all that much).