March 20, 2024, 4:48 a.m. | Jiangrui Zheng, Xueqing Liu, Guanqun Yang, Mirazul Haque, Xing Qian, Ravishka Rathnasuriya, Wei Yang, Girish Budhrani

cs.CL updates on arXiv.org arxiv.org

arXiv:2307.12418v2 Announce Type: replace-cross
Abstract: To protect users from massive hateful content, existing works studied automated hate speech detection. Despite the existing efforts, one question remains: do automated hate speech detectors conform to social media content policies? A platform's content policies are a checklist of content moderated by the social media platform. Because content moderation rules are often uniquely defined, existing hate speech datasets cannot directly answer this question.
This work seeks to answer this question by creating HateModerate, a …

abstract arxiv automated checklist content moderation cs.cl cs.se detection hate speech hate speech detection massive media moderation platform protect question social social media speech testing type

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Data Engineer - Takealot Group (Takealot.com | Superbalist.com | Mr D Food)

@ takealot.com | Cape Town