Replication Data for: \"RELATIO: Text Semantics Capture Political and Economic Narratives\"

Social scientists have become increasingly interested in how narratives -- the stories in fiction, politics, and life -- shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent narrative structures in text documents. Our new software package RELATIO identifies coherent entity groups and maps explicit relations between them in the text. We provide an application to the United States Congressional Record to analyze political and economic narratives in recent decades. Our analysis highlights the dynamics, sentiment, polarization, and interconnectedness of narratives in political discourse.

社会科学家愈发关注叙事（narratives）——即小说、政治与日常生活中的故事——如何塑造个体信念、社会行为与政府政策。本文提出一种无监督方法，可量化文本文档中的潜在叙事结构。我们研发的全新软件包RELATIO能够识别文本内的连贯实体群组，并映射出这些群组间的显式关联。我们将该方法应用于《美国国会记录》（United States Congressional Record），以分析近数十年来的政治与经济叙事。本研究的分析结果揭示了政治话语中叙事的动态演变、情感倾向、极化特征与互联关联。