Even now, I regret botching this post by writing and posting it as fast as possible, and making it tl;dr.
I wrote a much shorter and better version, which also takes into account Zack M Davis’s Optimized Propaganda with Bayesian Networks which focuses on the ability to run internal interpretability on the process of human opinion formation by using large sample sizes of human data to track causality networks between different beliefs (in his example, it was just large sample sizes of human survey data, rather than the combination of large amounts of human biodata and news feed scrolling data).
Even now, I regret botching this post by writing and posting it as fast as possible, and making it tl;dr.
I wrote a much shorter and better version, which also takes into account Zack M Davis’s Optimized Propaganda with Bayesian Networks which focuses on the ability to run internal interpretability on the process of human opinion formation by using large sample sizes of human data to track causality networks between different beliefs (in his example, it was just large sample sizes of human survey data, rather than the combination of large amounts of human biodata and news feed scrolling data).