#2 seems fine to try but I am a little skeptical about the chances of success without domain knowledge. A Coral Edge TPU in particular feels quite unnecessary — most spam models are totally fine running on CPU. I am also a little surprised to see the first impression is to build rather than looking for existing local solutions.
#3 Sure, if it’s user by user opt in, that could be fine. I’d also ask — would false positives (flagged in an automated manner, reviewed by a human and found to be not spam) be entered as well to be trained on, or no?
#4 Seems reasonable, though I would hope that their posts would still be visible when directly viewing their profile page. I would also hope there is some mechanism in place such that automated techniques routinely misidentify a user, that they be exempted from this after ~2 times. I would also be curious to see some stats on this in transparency reports.
@crashdoom
#1 makes sense; sure.
#2 seems fine to try but I am a little skeptical about the chances of success without domain knowledge. A Coral Edge TPU in particular feels quite unnecessary — most spam models are totally fine running on CPU. I am also a little surprised to see the first impression is to build rather than looking for existing local solutions.
#3 Sure, if it’s user by user opt in, that could be fine. I’d also ask — would false positives (flagged in an automated manner, reviewed by a human and found to be not spam) be entered as well to be trained on, or no?
#4 Seems reasonable, though I would hope that their posts would still be visible when directly viewing their profile page. I would also hope there is some mechanism in place such that automated techniques routinely misidentify a user, that they be exempted from this after ~2 times. I would also be curious to see some stats on this in transparency reports.