It feels like the amount of both, divisive posts and ghoulish comments is rising again.

One could argue that the world has a lot of divisive stuff going on and lemmy just talks about it. But the way people post about stuff seems more oot and hateful than it has been in the past.

Not saying it is that but if I wanted to bring the Fediverse down or at least keep my customers from going there, I would sow this stuff as much as I can.

I’m blocking ghouls left right and center atm but if I ever asked a friend to join lemmy, I’d hate to think of what they would see that I dont anymore.

Do we need stronger moderation?

  • Maybe ban politics from c/memes?
  • Become a little more stringent on “dont be a jerk” rules in communities?

One thing that really bothers me is the collapsing “discourse”. Trying to mend fences and keep the conversation between sides going ime leads to nothing but downvotes and shitstorm.

I feel like a little more interaction (instead of intervention, at first) of the moderators would do wonders there.

Thanks for reading this rant. Have a nice day.

  • @blahsay@lemmy.world
    link
    fedilink
    English
    59 months ago

    It’s interesting right?

    I’m thinking the architecture of the fediverse makes it particularly vulnerable to these sorts of attacks.

    I’m pretty sure I’ve spotted bots circle jerking on some subjects also which makes me think there’s a few different sources.

    • hauiOP
      link
      fedilink
      English
      09 months ago

      Very interesting indeed.

      I‘m starting to report, block and ban accounts from being viewed on my instance that use abusive language but from a systemic standpoint we should find a design solution to make this work.

      Reddit had karma for this reason among others. People needed to make helpful contributions to prove they are able to function in the group.

      For many reasons this is not implemented in the fediverse but a design solution would be good.

      • @blahsay@lemmy.world
        link
        fedilink
        English
        49 months ago

        If I was designing an anti troll/bot system I’d implement a few things. Let’s call any bad actor on here a bot/troll or broll for ease.

        1. Reputation based posting isn’t a bad idea if carefully done
        2. When a broll is banned any users from the same ip are flagged a suspect and a subsequent ban causes delayed posting from that ip. If a VPN the instance host list has the same effect applied. Exceptions based on Reputation.
        3. You can check if text is ai/llm generated and an automated api check before posting and immediate ban if found.
        4. Checks on if a user posts inhumanly fast or is oddly active etc would be sensible.
        5. Any broll system has to be adaptive and measures taken need to be kept secret (this post for example).
        • hauiOP
          link
          fedilink
          English
          29 months ago

          Very good ideas! Any idea if something like this already exists? If not, shall we work on something? I have some experience in python if that helps.

        • @intensely_human@lemm.ee
          link
          fedilink
          English
          09 months ago

          You can check if text is ai/llm generated and an automated api check before posting and immediate ban if found

          If this LLM-detection function ever results in false positives, this system will be banning innocent people.

          Also there are many, many cases where a person openly displays results from an LLM, without it being in any way antisocial.

          • @blahsay@lemmy.world
            link
            fedilink
            English
            09 months ago

            The odds of someone coming up with the same sentence as an llm within common sense bounds of time far exceed winning the lottery or getting struck by lightning.

            Your second point is straight up nonsense. This platform is for humans to interact. The use of bots is inherently deceptive.

            Fascinating to have someone argue for them. I think the backend logs will be pretty illuminating.

            • @intensely_human@lemm.ee
              link
              fedilink
              English
              09 months ago

              I don’t know what a person “coming up with the same sentence as an llm” would have anything to do with this unless the LLM detection is based on direct string comparison.

              The use of bots is inherently deceptive

              Nope. I can say:

              Here’s what GPT-4 generated when I gave it that prompt: “[some LLM output that would get them banned by the machine we’re proposing to build]”

              That is not deceptive. But it would be detected by this system and result in them being banned. Because you guys are gung-ho to build a powerful head-cracking machine and didn’t think of an obvious edge case.

              • @blahsay@lemmy.world
                link
                fedilink
                English
                09 months ago

                You’re wrong and don’t have the technical knowledge to understand why and I can’t be asked explaining it.

                Relax, it won’t affect that case.