3 ms·
current implementation overfit the word curve. i.e. "chimpanzees" is often associated with trolling insults, resulting in a highly "toxic" scoring even in stand
by LoSboccacc 9y ago
current implementation overfit the word curve. i.e. "chimpanzees" is often associated with trolling insults, resulting in a highly "toxic" scoring even in standard contexts: http://i.imgur.com/HM4cOca.png http://i.imgur.com/HM4cOca.png
it will eventually learn as user reports and corrects the correlations between normal and toxic in full sentences, but it's still lacking as of now, and not only for controversial topics: https://i.imgur.com/HGrs4ze.png https://i.imgur.com/HGrs4ze.png
- wccrawford 9y agoThat's a common problem with "dumb" censors on websites that are trying to keep things civil, except that they always censor those words, instead of just sometimes. And there's no way for the censor to learn from mistakes on those website. One that can learn and get better sounds amazing and would likely be better-tolerated by the userbase. It could even learn automatically over time as the moderators mark each toxic post as such, and un-mark the ones that got mistakenly auto-censored.