English(EN) Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation

大型语言模型协助专家撰写反驳仇恨言论的内容

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-21 13:02

研究人员开发了利用大型语言模型（LLMs）辅助撰写反驳在线仇恨言论和虚假信息的方法。该研究探索了三种策略，包括使用事实核查和非政府组织（NGO）指南提示LLMs，以及结合两者的混合方法。虽然LLMs在40%的情况下生成了足够好的反驳言论，但专家修订显著提高了输出的质量和对指南的遵循度。 AI

影响为利用LLMs打击在线不良信息提供了框架，可能改善内容审核并减少两极分化。

排序理由该集群包含一篇详细介绍新研究方法和数据集的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.CL TIER_1 English(EN) · Genoveffa Martone, Helena Bonaldi, Marco Guerini · 2026-05-22 04:00

辅助反驳言论：在仇恨言论与虚假信息交汇处

arXiv:2605.22435v1 Announce Type: new Abstract: Hate speech and misinformation frequently co-occur online, amplifying prejudice and polarization. Given their scale, using Large Language Models (LLMs) to assist expert counterspeech (CS) writing has gained interest, yet prior work …
arXiv cs.CL TIER_1 English(EN) · Marco Guerini · 2026-05-21 13:02

辅助反驳言论：在仇恨言论与虚假信息交汇处

Hate speech and misinformation frequently co-occur online, amplifying prejudice and polarization. Given their scale, using Large Language Models (LLMs) to assist expert counterspeech (CS) writing has gained interest, yet prior work has addressed these phenomena separately. We bri…