标注并提取德语电报帖文中阴谋论角色，支持大规模分析。
Who's Behind It? Annotating and Extracting Conspiratorial Actors from German Telegram Posts
- 制定德语阴谋论角色标注规范，构建跨度标注语料库。
- 基于Transformer模型实现角色自动抽取，准确率合理。
- 应用于大型阴谋论档案库，支持宏观叙事分析。
阴谋论常将重大事件归因于强大而隐秘的行动者。尽管计算研究多集中于阴谋论文档层面分析，但对驱动叙事的角色识别关注较少。本文制定阴谋论角色标注指南，构建德语电报帖文的跨度标注语料库，并利用基于Transformer的模型探索其自动抽取。进一步将所得模型应用于德国阴谋论电报频道的大型档案库Schwurbelarchiv。结果表明，尽管阴谋话语语言复杂，仍可实现有意义的标注一致性和合理的角色抽取准确率，为阴谋叙事中角色表征的大规模分析提供了可能。
原文摘要 · Abstract (English)
Conspiracy theories commonly attribute important events to the actions of powerful and secretive actors. While computational research has largely focused on document-level analyses of conspiracy theories, less attention has been paid to identifying the actors that drive such narratives. We develop annotation guidelines for conspiratorial actors, present a span-annotated corpus of German Telegram posts, and investigate their automatic extraction using transformer-based models. We further apply the resulting model to the \textit{Schwurbelarchiv}, a large-scale archive of German conspiracy-related Telegram channels. Our results demonstrate that conspiratorial actors can be annotated with meaningful agreement and extracted with reasonable accuracy despite the linguistic complexity of conspiracy discourse, enabling large-scale analyses of actor representations in conspiracy narratives.
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