It happens to all of us, we see poor data on Google Maps, suggest the edit and receive the "Not Applied" response.
We are told that we do not live in a perfect world and that Maps has to put filters in place to prevent spam and poor data. These filters that are looking for "bad stuff" are not perfect and some quality edits will receive the wrong verdict: aka false positives. In other words, "good stuff" is falsely labeled as (potential) "bad stuff".
But what if we turn it around?
What if other algorithms were looking for good stuff and evaluate our edit suggestions on the basis of Mapping Guidelines/ Rules and information available.
Getting to the point...
My suggestion is to have an extension to the current verification procedure.
AFTER a Local Guide has received the "Not Applied" response we should be able in certain types of cases to trigger the other type of algorithm, allowing for a re-evaluation.
The most obvious cases where this should be possible right now are:
1) A pinpointer/ map marker is at the wrong place and satellite view clearly proves it.
2) A name is not following rules (e.g. includes legal terms or wrong use of CAPS).
3) A name is not consistent with other branches of the same store.
Surely, the AI/ algorithms must be advanced enough to analyze and evaluate these types of false positives.
Just to be clear, we would not be resubmitting our data, all we would do is tag a false positive with a "category".
It goes further!
The OBJECTIVE is to improve the quality of the data on Maps. Not to get our edits approved.
An example where Maps would even benefit from this extension in case of "positive positives":
I hope I am making sense here. If not please let me know.
Another approach to this idea is that we Local Guides have the option to simply "label" wrong data on maps, without giving the solution. It could be a great intermediate step for Local Guides that do not have the confidence to make a certain correction, because they are insecure about their solution, but do know that the data needs fixing.
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