Software Engineering, and it was more intended as a build project than as an academic venture. We would basically have been setting out to strip out all the addiction features Social Media is built with and see what can be built with what’s left and what new ideas can make it a good experience for the user without queuing them for ranked rage fest matches against whoever else is in the comment section they clicked on in the rage bait article.
Idea: enable downvotes, but they don’t just lower the ranking of the comment you downvote, they lower the ranking of the top level post. And they have a much larger effect than upvotes on ranking.
Now if you get into a fight with someone in the comment section, nobody will see it because your downvotes on each other will push the whole post into obscurity. Only uncontroversial posts where everyone agrees succeed. Thus, people are incentivised to make posts that everyone can enjoy. If you post something racist and start a fight in the comments, your post gets no upvotes, and the fight is contained from spreading further.
Downside: this system doesn’t discriminate between content thats controversial because it sucks and content that’s controversial but good. For example, any kind of vegan content is going to be buried. You’ll get a much stronger hivemind effect on this social media.
You forgot the bots and potential abuse that comes with it. Bunch of bots getting into a fight to lower the ranking of the post.
That’s the same as creating a botnet to downvote a post directly, except now you need to plug it into an LLM instead of just running a script. It’s way more work.
