研究人员开发了先进的基于BERT的模型，用于检测土耳其语和阿拉伯语中的仇恨言论。该研究引入了一个涵盖土耳其语五个主题（包括难民、以色列-巴勒斯坦冲突和LGBTQ+问题）以及阿拉伯语一个关于难民的主题的新数据集。这些模型旨在进行全面的分析，例如对仇恨类别进行分类、预测强度、识别目标以及检测仇恨内容的具体范围。 AI
影响 增强了在资源匮乏语言中内容审核和打击在线仇恨言论的AI能力。
排序理由 详细介绍新数据集和仇恨言论检测模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.00143v1 Announce Type: cross Abstract: Online hate speech has been linked to a global rise in violence against minorities, including incidents such as mass shootings, lynchings, and ethnic cleansing. Societies grappling with this issue, particularly when hate speech ta…
Online hate speech has been linked to a global rise in violence against minorities, including incidents such as mass shootings, lynchings, and ethnic cleansing. Societies grappling with this issue, particularly when hate speech targets specific groups based on religion, race, eth…