1
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 13 Jun 2023
1 points (100.0% liked)
/kbin meta
38 readers
1 users here now
Magazine dedicated to discussions about the kbin itself. Provide feedback, ask questions, suggest improvements, and engage in conversations related to the platform organization, policies, features, and community dynamics. ---- * Roadmap 2023 * m/kbinDevlog * m/kbinDesign
founded 2 years ago
You have a pretty ironclad point. A company having access to years of that from any user would be a huge boon. Which is upsetting, because I viewed it as a helpful development in terms of group dynamics. Not for blacklisting purposes, which they also run the risk of turning into, but because, knowing your name is up there, you're more likely to mull over whether something is really actually bad enough to deserve the downvote and throwing them around willy-nilly is a great habit to break yourself of.
If you can't downvote something without being called out by name, you're stuck admitting it really didn't matter all that much, or hopefully explaining why you dislike something in words. Which does not happen nearly as often as it should. Forcing people to own up to them could curb the tendency to downvote things into oblivion
Thinking it over, I'm forced to admit the cons outweigh it, but I don't have to like it.
If that company can't serve ads to you or connect you to a profile of a real person, then I'm not sure it really matters.
This could be said for any bit of information you post publicly. You don't think they can learn the same info from your posts? I agree it is a problem but I don't think private up/down votes address it.
Im doing ("did") a lot more of up/downvoting than writing longer replys to different topics.
It should be much easier for a company to scan a wide array of users on their voting behaviour than reading their posts one by one.
I highly doubt it would be a human reading the posts.
maybe i didnt express correct what i mean...
Lets say after 5 years of kbin running and lots of user interactions.
-It should be really easy to pick out 50 or 100 (for example politcal) threads and filter all the up and downvotes. After that you could identify for most of the users which direction they are leaning.
-in the same scenario its much more work to read (or train a AI or bot or something)all the posts to interpret what point of view all these users have.
I think you underestimate how easy it is to determine the "mood" of a comment, but let me perhaps come at this from a different angle: even if kbin did as you request and made up/down votes hidden, there is nothing that says a server that is federated with kbin has to hide that information, as well.
It's probably best to just assume that any information you give in public will be public, and act accordingly.
Huh thats scary.
Im honestly not that deep into the AI theme so im not really able to recognise which of all this AI things are real and which are more wishfull thinking or marketing.
Just hop on over to chat GPT and ask it to write something in an angry tone, then ask it to write the same thing in a supportive tone.