POLECAT Weekly Data

The POLitical Event Classification, Attributes, and Types (POLECAT) dataset is the successor event dataset to the Integrated Crisis Early Warning System (ICEWS). Event data consists of coded interactions between socio-political actors (i.e., cooperative or hostile actions between individuals, groups, sectors, and nation states). POLECAT uses a newly developed, machine-learning coder based on the Political Language Ontology for Verifiable Event Records (PLOVER) ontology to produce an event database by analyzing news stories in seven languages from over one-thousand sources across the globe. The database includes millions of time-stamped, geolocated events from 2018 onward, is updated hourly, and posted weekly. Each event includes several attributes, as defined in the included POLECAT Dictionary and PLOVER Manual. Please see the companion POLECAT Dataverse page at doi.org/10.7910/DVN/LMFPIP for associated documentation.

政治事件分类、属性与类型（Political Event Classification, Attributes, and Types, POLECAT）数据集是综合危机早期预警系统（Integrated Crisis Early Warning System, ICEWS）的后继事件数据集。事件数据由社会政治行为体之间经编码的交互行为构成，即个体、群体、部门与国家之间的合作或对抗行动。POLECAT数据集采用基于可验证事件记录政治语言本体论（Political Language Ontology for Verifiable Event Records, PLOVER）开发的新型机器学习编码工具，通过分析全球超过1000个信源的7种语言新闻报道，构建事件数据库。该数据库包含2018年以来的数百万条带时间戳、经地理定位的事件，每小时更新一次，并每周发布。每条事件均包含多项属性，相关定义详见随附的《POLECAT词典》与《PLOVER手册》。如需获取相关文档，请访问配套的POLECAT Dataverse页面：doi.org/10.7910/DVN/LMFPIP。