用框架分析法自动识别新闻中的叙事结构，揭示政治立场差异。
Narrative Media Framing in Political Discourse
- 将叙事元素与框架理论结合，构建可操作的分析框架
- 在气候变化新闻中发现不同政治立场的叙事组件差异
- 首次在新冠危机中无监督验证框架有效性，适合媒体分析研究者
叙事框架是传达复杂争议性观点的重要方式，但现有自动化框架分析大多忽略这一形式。本文将叙事特征与框架核心要素结合，提出一个可形式化、可操作的分析框架。我们标注并发布了一个气候变迁领域新闻文章数据集，分析了不同政治倾向下叙事框架成分的主导性，并测试大语言模型预测叙事框架及其组件的能力。最后，我们将该框架无监督地应用于新冠疫情领域，预测结果与既有理论一致，验证了方法的普适性。
原文摘要 · Abstract (English)
Narrative frames are a powerful way of conceptualizing and communicating complex, controversial ideas, however automated frame analysis to date has mostly overlooked this framing device. In this paper, we connect elements of narrativity with fundamental aspects of framing, and present a framework which formalizes and operationalizes such aspects. We annotate and release a data set of news articles in the climate change domain, analyze the dominance of narrative frame components across political leanings, and test LLMs in their ability to predict narrative frames and their components. Finally, we apply our framework in an unsupervised way to elicit components of narrative framing in a second domain, the COVID-19 crisis, where our predictions are congruent with prior theoretical work showing the generalizability of our approach.
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