I don't know if community notes takes this into account, but you could weight bias according to how a contributor has voted in the past and medianize the output to prevent "dogpiling" or "brigading" from one side or the other.
>For a note to achieve a high intercept term (which is the note’s helpfulness score), it must be rated helpful by raters with a diversity of viewpoints (factor embeddings)
https://communitynotes.twitter.com/guide/en/under-the-hood/r...
That's most of the article. If you're asking yourself that, you should read it