Birdwatch - 西尾泰和のScrapbox

We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contributors annotate misinformation and simultaneously rate the contributions of others. Our algorithm uses a matrix-factorization (MF) based approach to identify annotations that appeal broadly across heterogeneous user group

[YassLab]

"「客観的ではないからゴミだ」と捨てるのではなくたくさん集める / そこから意味を引き出す / かつては「合計,平均,多数決」みたいにしょぼい特徴量しか使ってなかったので主観データをたくさん集めても有用でなかった