It is an interesting viewpoint. One of the advantages of Twitter is that people can weight, or Twitter itself can weight who is posting and sharing that informa

It is an interesting viewpoint. One of the advantages of Twitter is that people can weight, or Twitter itself can weight who is posting and sharing that information. For instance, if Fred Wilson writes something about startups or VC, I generally find it interesting, if he writes about public markets, I largely ignore it. Originally, page rank probably solved quality of the source well enough, but as more interesting content is appearing in podcasts or niche, subscription blogs, does the approach need to be drastically different? What I mean is rather than Google's algorithm likely boosting the popularly clicked and shared post, "10 Things I learned as a VC Intern", should Google's ML algorithm weight that click based on the expertise of the search user or subject matter density, etc.? Like should Linus Torvalds clicking on a link be given far more importance on a technical/software related query than myself?