no code implementations • WS 2019 • Jiyoung Han, Youngin Lee, Junbum Lee, Meeyoung Cha
This study analyzes the political slants of user comments on Korean partisan media.
1 code implementation • WS 2020 • Jihyung Moon, Won Ik Cho, Junbum Lee
Additionally, when BERT is trained with bias label for hate speech detection, the prediction score increases, implying that bias and hate are intertwined.
1 code implementation • 7 Apr 2022 • TaeYoung Kang, Eunrang Kwon, Junbum Lee, Youngeun Nam, Junmo Song, JeongKyu Suh
We suggest a multilabel Korean online hate speech dataset that covers seven categories of hate speech: (1) Race and Nationality, (2) Religion, (3) Regionalism, (4) Ageism, (5) Misogyny, (6) Sexual Minorities, and (7) Male.