ARGUS：叙事特征对说服力影响的观察
ARGUS: Seeing the Influence of Narrative Features on Persuasion in Argumentative Texts
AI总结：
ARGUS通过分析叙事特征对说服力的影响，探索在线论证中叙事作用的机制
摘要：
叙事能否使论点更具说服力？为此，哪些叙事特征最为关键？尽管故事常被视为强大的说服工具，但其在在线非结构化论证中的具体作用仍待探索。为填补这一空白，我们提出了ARGUS，一个用于研究叙述对说服力影响的框架。ARGUS引入了一个标注了故事存在和六个关键叙事特征的新ChangeMyView语料库，整合了两个已建立的理论框架的见解，这些框架捕捉了文本叙事特征及其对接收者的影响。利用基于编码器的分类器和零样本大语言模型（LLMs），ARGUS识别故事和叙事特征，并在大规模上应用它们，以研究不同叙事维度如何影响在线论证中的说服成功。
英文摘要：
Can narratives make arguments more persuasive? And to this end, which narrative features matter most? Although stories are often seen as powerful tools for persuasion, their specific role in online, unstructured argumentation remains underexplored. To address this gap, we present ARGUS, a framework for studying the impact of narration on persuasion in argumentative discourse. ARGUS introduces a new ChangeMyView corpus annotated for story presence and six key narrative features, integrating insights from two established theoretical frameworks that capture both textual narrative features and their effects on recipients. Leveraging both encoder-based classifiers and zero-shot large language models (LLMs), ARGUS identifies stories and narrative features and applies them at scale to examine how different narrative dimensions influence persuasion success in online argumentation.
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