>If algorithms are gamed they'll have to be modified to be resistant to gaming As far as I know, nobody in computer science has come up with a ranking algorith

>If algorithms are gamed they'll have to be modified to be resistant to gaming As far as I know, nobody in computer science has come up with a ranking algorithm that can't be gamed to render the algorithm useless. (Unless the so-called algorithm is a trivial case such as the runner with the fastest time across the finish line is the "winner" of the race.) For a multi-criteria algorithm that approximates a hazy idea like "video quality" that uses various signals as proxies for quality, the algorithm's exact source code must be kept a secret. Yes, you can publicize broad outlines of what the algorithm does but you can't reveal the actual code (or the actual machine learning weights, etc). Yes, an algorithm like a SHA256 hash source code can be made transparently public and still can't be "abused" such that a bad actor can make the string "DEADBEEF" appear anywhere they want in the output hash. This class of algorithm behaves differently than ranking/recommendation algorithms.