alt Hacker NewsThis seems like a great idea. Even without the linked surveys. Two questions I have:
- how you does this handle the fact that a lot of accounts on social media platforms are bots that maybe controlled by a small number of people.
- how do we actually get this implemented?
Replies
> how do we actually get this implemented?
Hackers might be interested to know that there's an "open questions" section at the end of TFA. Some of it probably wants simulation, some wants theorems.
Camel-ai pubs/frameworks might be related and useful, for example: https://github.com/camel-ai/agent-trust
Several model checkers also have primitives for working with common-knowledge. TFA puts it like this:
> Learning a fact changes what you know. Seeing it displayed publicly — where everyone else can see it too — where you know others can also see it, changes what everyone knows, and subsequently how they act.
An important piece of technical vocabulary, it really seems we need this to talk about a lot of problems lately. Here is Terence Tao talking about some related math for disinformation and politics ( https://mathstodon.xyz/@tao/114866548969775485 ) and summing it up this way:
> we barely even have the vocabulary to discuss, let alone analyze, games in which control of information is a major battleground.
He kinda means in general though I think.. probably we can find heuristics and crunch a case or two
This is my question as well, especially about the "community check". How will it be ensured that the "community check" is not going to be dominated by bots pushing an agenda? How is that different from "just another comment section hidden behind a green button"?
Regulating the algorithm is my favorite answer. Ban the recommendation engine on large social media sites. Make it a chronological feed of who you follow. Make it boring. I don't know all the details, but something like this.