Very much like greed powers markets to produce wealth, tribalism powers the “bridging” algorithm to produce societal trust
We also have a system that uses greed to produce societal trust in information—prediction markets. Could we combine both somehow? What if we used bridging-based ranking on a prediction market data? Would giving more weight to similar bets by people who bet differently on other things make prediction markets even more accurate and trustworthy?
My feeling is that combining both would lead to each compromising the other. Markets are driven by greed. If you add tribalistic incentives, you distort the flow of financial information within the system and make the market work less efficiently. Same applies the other way round: If you add financial incentives to the Twitter’s bridging algorithm, you are likely to end up with lower quality community notes.
We also have a system that uses greed to produce societal trust in information—prediction markets. Could we combine both somehow? What if we used bridging-based ranking on a prediction market data? Would giving more weight to similar bets by people who bet differently on other things make prediction markets even more accurate and trustworthy?
My feeling is that combining both would lead to each compromising the other. Markets are driven by greed. If you add tribalistic incentives, you distort the flow of financial information within the system and make the market work less efficiently. Same applies the other way round: If you add financial incentives to the Twitter’s bridging algorithm, you are likely to end up with lower quality community notes.
Yeah, that’s certainly a possibility, but I think it’s still worth exploring in case there is a way they can complement each other.