Criteria of Truth isn't a greenfields. There is extant literature and authorities to be consulted, and, perhaps, questioned:
https://en.m.wikipedia.org/wiki/Criteria_of_truth
Any reputation or recommendation system is subject to gaming. The questions are: what fundamentally does it promote, what are its internal incentive structures, and is it fundamentally trustable.
You don't get away from any of those questions (or concerns) no matter what you replace it with. Aiming at truth itself strikes me as vastly preferable to the extant model.
Understanding that truth itself can be imprecise, and building considerations of this (say: through fuzzing or randomising SERP) into the system also helps.
What significant amounts of research, ranging from highly formal to informal, have show, is that the lack of accountability by reptuation has lead to numerous actors hijacking our epistemic systems. Lauren Weinstein, Pew, Snopes, ProPublica, and others, have reported on this at length.
https://www.reddit.com/r/dredmorbius/comments/5wg0hp/when_ep...