this post was submitted on 13 Jun 2023
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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.