My first post here, never know there is this place before…
iNaturalist has a problem with misidentifications. Note: I’m not talking about casual users, citizens, or ordinary people here. Those people are generally very happy to learn when you explain the reasoning behind an identification. It wasn’t your usual hobbyist in learning naturalist.
I’m talking about actual ecologists who repeatedly make incorrect identifications.
I’m questioning whether iNaturalist’s advertised figure, that 91% of Research Grade observations are correctly identified is really accurate.
To be clear, there aren’t many people like this. Only a handful, but they can have an impact on the identification of an entire genus.
I noticed they’re often experts in something else (insects, spiders, or other animal), but then they start identifying plants. Eventually, they become top identifiers, and now they’re an prolific identifier on plants.
I’ve spoken to some of them privately, trying to explain things, but they seem to misunderstand everything from how to use identification keys to the original taxonomic descriptions of the genus. And no matter how much I try, it gets nowhere.
Sometimes, the photo doesn’t has the parts needed for a reliable identification yet, but they still go ahead and use iNaturalist’s AI to identify it.
Recently, a friend of mine shared a post about someone publicly shaming one of these serial misidentifiers, saying that such behaviour was terrible. As terrible as public shaming can be, I can somewhat wholeheartedly understand and justify part where that frustration comes from. That said, I’m not going to do that as that’s not my thing to do, it’s not my personality.
And I think a lot of the problems on iNaturalist stem from the way the it uses the “Maverick” label with the red lightning bolt symbol. I understand that it doesn’t intend it maliciously. But when someone disagrees with the prevailing identification, it’s often actually correct, why would you label them a “Maverick”? That isn’t a neutral way to handle disagreement. And just looking at the past thread when someone criticize the label everyone seems to defend the label. Is that really the kind of message you want to send on a citizen science platform?