--> Combination of webs of trust and machine learning to both shape tastes and politics and harden networks from their shaping.
Can you elaborate on this with an example of a future scenario? Thinking about this is throwing me for a loop. Are you talking about some deeper level of web curation not yet achieved? People ever more entrenched in their own AI curated "bubbles"? "Harden networks from their shaping" Qwut?
Imagine social networks where you couldn't just make 100 bots. Through some low friction mechanism the people that you trusted most would be identified to you as such and by extension the people they most trusted would be visually indicated to you. Settings would allow you to completely filter out people that aren't within a certain degree of trust.
Right now adversaries attempt to warp what people believe by pushing them to make connections to more extreme elements, this would be less possible if the social network were built in such a way that would expose fake or low trust profiles.
The web of trust would resemble Page Rank, more than modern day Facebook. For example, Bill Kristol may be trusted by people like Ezra Klein to such a high degree as to not just bring him within your bubble, but to be part of a social network feed that would provide a blend of opinions.
I'm not saying this is easy to get right, but it's necessary if we want to have open platforms like Twitter to survive gamification by nation-states and brand marketers.
Can you elaborate on this with an example of a future scenario? Thinking about this is throwing me for a loop. Are you talking about some deeper level of web curation not yet achieved? People ever more entrenched in their own AI curated "bubbles"? "Harden networks from their shaping" Qwut?