PulseAugur
实时 20:19:37
None AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse

新数据集追踪危机期间阿拉伯社交媒体上的希望言论

研究人员推出了 AraHopeCorpus,这是一个旨在研究危机期间阿拉伯社交媒体上希望言论的新数据集。该语料库源自 2023-2024 年加沙冲突相关的 10,000 条 YouTube 评论,发现超过 64% 的评论表达了希望,主要通过宗教鼓励、团结和乐观。该数据集还确定约 13% 为“无希望言论”,反映了绝望,其余为中性或混合。虽然像 ChatGPT 这样的大型语言模型可以协助注释,但它们在处理方言和具有文化细微差别的表达方面存在困难。 AI

影响 为研究建设性的数字话语和危机背景下的希望言论检测提供了新资源。

排序理由 该集群包含一篇介绍用于研究阿拉伯社交媒体希望言论的新注释数据集的研究论文。

在 arXiv cs.CL 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]

  1. arXiv cs.CL TIER_1 · Esra'a Sharqawi, Wajdi Zaghouani ·

    AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse

    arXiv:2605.23325v1 Announce Type: new Abstract: Social media has become a crucial arena for shaping public narratives during armed conflicts, providing space for both harmful and constructive communication. While hate speech and misinformation have been widely studied, expression…

  2. arXiv cs.CL TIER_1 · Wajdi Zaghouani ·

    AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse

    Social media has become a crucial arena for shaping public narratives during armed conflicts, providing space for both harmful and constructive communication. While hate speech and misinformation have been widely studied, expressions that promote resilience, solidarity, and optim…