Elsagate Corpus

Identifying disturbing online content being targeted at children is an important content moderation problem. However, previous approaches to this problem have focused on features of the content itself, and neglected potentially helpful insights from the reactions expressed by its online audience. To help remedy this, we present the Elsagate Corpus, a collection of over 22 million comments on more than 18,000 videos that have been associated with disturbing content.识别针对儿童的不良网络内容是内容审核领域的一项重要研究课题。然而此前针对该问题的研究方法多仅聚焦于内容自身的特征，却忽视了在线受众反馈中蕴含的潜在有益见解。为弥补这一研究短板，我们构建了Elsagate语料库（Elsagate Corpus）：该数据集收录了与不良网络内容相关的18000余条视频下的2200余万条评论。