English(EN) Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities

LLM内容审核系统增强对少数群体言论的敏感性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-11 14:28

研究人员开发了Mod-Guide，一个基于LLM的系统，旨在改进针对少数群体敏感言论的内容审核。该系统聚焦于孟加拉国的印度教徒和Chakma社群，通过检索增强生成（RAG）将他们的生活经历和文化特定叙事融入审核流程。评估表明，RAG增强的响应在上下文上更准确，并且被不同族裔群体以不同方式感知，从而推动了AI伦理和人机交互领域的研究。 AI

影响这项研究可能为在线平台带来更公平、更具上下文感知能力的AI审核系统。

排序理由该集群描述了一篇研究论文，其中详细介绍了一个新的基于AI的内容审核系统。

在 arXiv cs.AI 阅读 →

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

报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Dipto Das, Achhiya Sultana, Ankit Singh Chauhan, Saadia Binte Alam, Mohammad Shidujaman, Shion Guha, Sunandan Chakraborty, Syed Ishtiaque Ahmed · 2026-06-12 04:00

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities

arXiv:2606.13397v1 Announce Type: cross Abstract: Language operates as a mechanism of both marginalization and resistance, especially for minority communities navigating insensitive and harmful speech online. As content moderation increasingly depends on large language models (LL…
arXiv cs.AI TIER_1 English(EN) · Syed Ishtiaque Ahmed · 2026-06-11 14:28

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities

Language operates as a mechanism of both marginalization and resistance, especially for minority communities navigating insensitive and harmful speech online. As content moderation increasingly depends on large language models (LLMs), concerns arise about whether these systems ca…

报道来源 [2]

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities

相关实体

相关话题