That will probably get to us eventually (it’s complicated - it depends on what you and other reporters choose as the report reason). An email to data@openstreetmap.org is quicker.
Well, even a broken clock is right twice a day. It might be pure chance. I think what they might be doing is just finding any water in OSM and adding nodes alongside (and sometimes inside) it tagged natural=beach. They might even be intentionally making some good edits to make our work more difficult (it means that we have to review each change to see if it might be valid).
Does anyone know what other features are of interest to Pokemon players? I have noticed some fake parks being added (and dog parks changed to parks).
Yes, mostly parks, and now natural=beach and natural=coastline.
The beach was already a Pikmin Bloom “biome” (another Niantic game), here a list of some tags used by that app: link.
This Fandom wiki has a list for Pokémon Go as well (I don’t know how reliable it is, also not updated since 2019): link
In Nederland spawns and gyms are suppressed near schools and some other places, I think also near railways, motorways and important traffic areas. Where pedestrians would cause major safety risks.
See also here on Hacker News - expect a mixture of relevant and “completely misunderstanding what is going on but wanting to share their valuable opinion nonetheless” replies there .
I myself started contributing to OSM because of Pokemon Go.
As long as they are making legitimate contributions, this is a good thing, but we definitely need to keep an eye out for users abusing the map.
We’ll have occasional spikes in activity that correspond to Pokemon Go updates, but once these users realize that Niantic only updates their maps every year or so, they start to lose interest. Consequently, any vandalism from those trying to game the system will also dwindle.
Yes, the research paper I linked goes into specifics for just the country of South Korea:
In South Korea, the #contributors and #edits to OSM per day both increased more than 10-fold immediately following the launch of Pokémon GO (Figure 1). In the two weeks prior to the game’s release, the average #contributors was 15 and the average #edits was 4,028. In comparison, in the week following release, the average #contributors (584) was 40-times higher and the average #edits (70,345) was 17-times higher. However, both #contributors and #edits returned to more typical levels after around 1½ months. One explanation for this drop-off is that the new contributors had finished mapping the locations where they frequently played the game.
A similar spike in the number of contributors and edits can be observed at a worldwide scale.
I can guarantee you that at least a decent number of them stuck around to continue adding on to the map even years later.