[nebula8804]

This does not always work. For example: Knock Down The House started off with an excellent audience score and stayed that way for about a year...until Tucker Carlson mentioned it on his show and then it plummeted to its current score. So how can you infer whether the quality is good?

[mpsprd]

you sample bad reviews from users and read them. You can most of the time filter it out the classic noise:

-Pretentious watchers hating on summer blockbuster movies

-Political things and review bombs

About your specific example Steam comes to mind, they have a great review timeline feature that allows to filter out review bombs.

[nebula8804]

I suspect the negative reviewers got what they wanted: they feel better because they 'helped' in damaging someone they hate in some small way and anyone who just glances at it would pass on the film.

One feature that would be nice would be a filter to filter out reviewers based on certain criteria

-only one review

-only has reviews on certain films

-account life is less than specific threshold

That DB query is probably too expensive to run on a free site though. An app that scrapes the RT reviews and filters out based on this criteria has been on my list of things to build.