研究人员开发了一种从德语 Telegram 帖子中识别和提取阴谋论行为者的方法。该方法包括创建标注指南和标注帖子的语料库，然后使用这些语料库来训练基于 Transformer 的模型进行自动提取。所开发的模型应用于 Schwurbelarchiv，这是一个包含大量德语阴谋论相关 Telegram 频道的集合，证明了对阴谋论叙事中行为者表征进行大规模分析的可行性。 AI
影响 能够对阴谋论叙事中的行为者表征进行大规模分析，可能有助于理解和打击虚假信息。
排序理由 该集群包含一篇详细介绍 NLP 任务新方法的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.04962v1 Announce Type: new Abstract: 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 pai…
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 narr…