From the outside, you just can't imagine how few Google engineers are responsible for how many products and data integrations.
One example: back then it was a dozen people (literally) responsible for every single business's hours, category, and more for all of planet Earth. They automate the crap out of it and the automation mostly works (scrape structured data off websites, Google My Business, various aggregators, etc.) but it means there's no conceivable way you could provide customer support that will keep up with the volume of support requests because the support requests often ultimately have to get routed to an engineer... and there are only a dozen engineers on the team that owns stuffing all this data into Maps. And those engineers are supposed to be doing mostly feature work. Over time accuracy got better, but 95% accuracy, to say nothing of 99.9% accuracy, is unachievable to the point of being a non-goal.
One of this team's bigger time sucks was just other Google engineers complaining about inaccurate data. Someone would go to their favorite restaurant, notice the hours were off, or the business category was wrong, and file a ticket. Then the team would sometimes manually edit the listing to fix it. Sometimes they'd say "no, you have to deal with the same shitty data as all our customers". But that was just the requests coming in from a few thousand users who had access to the internal ticket system and new which component to file stuff under. (Incidentally: this is the origin of the Maps feature where you can now just directly edit a listing and if other users, agree, it gets published.)
So, yeah, there isn't really a scalable way to manage support requests. But HN works for some subset of cases, and I too upvote the cases that get complained about here.
EDIT: accuracy in the raw data was pretty bad but on a view-weighted basis it was pretty respectable IIRC (>90%). Turns out most people on Maps are looking at the same small subset of establishments, so you have to get those right even if that means making choices that reduce accuracy on other listings.