I'm a bit surprised this article has zero reference to any interdisciplinary work on trust metrics, and stuff like trust propagation algorithms. I'm even more s

I'm a bit surprised this article has zero reference to any interdisciplinary work on trust metrics, and stuff like trust propagation algorithms. I'm even more surprised, with the blockchain having becoming such a buzzword these days, that Bitcoin's proof-of-work approach was not even mentioned, let alone evaluated for effectiveness. And where's the love for Bruce Schneier [0]? I think the article's approach of referencing historic stragies from government and social infrastructure is a bit useless in this context because how much the problem changes when scarce information becomes abundant light-speed communication. I understand that they are trying to make the point that corporate overlords are bad, but maybe it would serve the purposes of the article better to just focus on the variables that matter, now that there's new capacities for transparency and accountability metrics based on some combination of historic behavior, web of trust node size, and other situational variables based on the medium -- like users that spend a lot of money, or consistently downvote known bad actors. Forcing users to have skin in the game with strict enforcement of transgressions is of course a reasonably effective, if coercive, strategy as well, and you can take the edge off this authoritarian approach if you pair it with some variant of restorative justice. My approach is perhaps not rigorously useful, but for my personal conceptions of trust in a world of bad actors, I like looking at strategies from Axelrod's iterated prisoner's dilemma[1]. Tit for Tat is famously a good strategy, and there's also a good strategy where you forgive on multiple cooperations but gradually increase the punishment of defectors to n times for their nth defection [2]. Though I should mention that tribalist collusion with other bad actors is unfortunately a very viable approach as well. [0]: https://www.schneier.com/books/liars_and_outliers/ https://www.schneier.com/books/liars_and_outliers/ [1]: https://axelrod.readthedocs.io https://axelrod.readthedocs.io [2]: http://jasss.soc.surrey.ac.uk/20/4/12.html http://jasss.soc.surrey.ac.uk/20/4/12.html