首个阿拉伯语危机话语中希望表达数据集，揭示社交媒体中的乐观力量
AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse
- 构建首个阿拉伯语希望言论标注数据集，基于1万条加沙战争相关视频评论
- 六成以上评论为希望表达，多体现宗教鼓励与集体团结
- 适合研究数字人文、危机传播与社会情绪分析的学者使用
社交媒体已成为武装冲突期间塑造公众叙事的关键场域，既存在有害言论，也蕴含建设性沟通。尽管仇恨言论和虚假信息已被广泛研究，但促进韧性、团结与乐观的表达，尤其在阿拉伯语语境下仍鲜受关注。本文提出AraHopeCorpus，首个从2023至2024年加沙战争相关YouTube评论中收集的阿拉伯语希望言论标注数据集，共包含一万余条评论。采用详细标注框架，将评论分为希望言论、无希望言论及中性或模糊言论三类。结果显示，希望语言占比超过64%，主要表现为宗教鼓励、集体团结及对坚持与正义的乐观预期；无希望言论约占13%，反映绝望与幻灭；其余为中性或混合内容。标注者间一致性达较高水平（Cohen's Kappa=0.71），但方言差异、反讽和隐含意义带来挑战。对比人类标注与ChatGPT表现发现，大模型可辅助标注，但在处理方言与文化嵌入表达方面仍有局限。AraHopeCorpus将开放获取，供非商业研究使用，为构建性数字话语、希望言论检测与危机沟通研究提供宝贵资源。
原文摘要 · Abstract (English)
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 optimism remain underexplored, particularly in Arabic contexts. This paper introduces AraHopeCorpus, the first annotated dataset of Arabic hope speech collected from ten thousand YouTube comments related to the war on Gaza between 2023 and 2024. Using a detailed annotation framework, comments were classified into three categories: hope speech, no hope speech, and neutral or unclear discourse. The dataset shows that hopeful language dominates, accounting for more than sixty four percent of all comments. These expressions of hope appear mainly as religious encouragement, collective solidarity, and optimism for endurance and justice. No hope speech, representing about thirteen percent, reflects despair and disillusionment, while the rest of the comments contain neutral or mixed content. Inter-Annotator Agreement reached substantial levels (Cohen's Kappa equals 0.71), though dialectal variation, sarcasm, and implicit meaning posed annotation challenges. A comparative analysis between human annotators and ChatGPT revealed that large language models can support annotation but remain limited in handling dialectal and culturally embedded expressions. AraHopeCorpus will be released for research purposes under an open and non commercial license. It provides a valuable resource for studying constructive digital discourse, enabling further research on hope speech detection, crisis communication, and resilience in Arabic social media.
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