缔约方新闻数据库:缔约方新闻稿的一个新的比较数据库

Cornelius Erfort, Lukas F. Stoetzer, H. Klüver
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引用次数: 0

摘要

我们介绍了PARTYPRESS数据库,其中汇编了来自9个欧洲国家68个政党的25万多份新闻稿。该数据库涵盖了这些国家自2010年以来最相关政党的新闻稿。它根据通用代码本将新闻稿分为21个独特的问题类别,提供有监督的机器学习分类。PARTYPRESS数据库可以用来比较和研究各政党的议题议程。我们扩展了Gessler和Hunger(2022)最近的一项分析,以说明该数据库在研究动态政党竞争、沟通和行为方面的有用性。
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The PARTYPRESS Database: A new comparative database of parties’ press releases
We present the PARTYPRESS Database, which compiles more than 250,000 published press releases from 68 parties in 9 European countries. The database covers the press releases of the most relevant political parties in these countries from 2010 onward. It provides a supervised machine learning classification of press releases into 21 unique issue categories according to a general codebook. The PARTYPRESS Database can be used to study parties’ issue agendas comparatively and over time. We extend a recent analysis in Gessler and Hunger (2022) to illustrate the usefulness of the database in studying dynamic party competition, communication, and behavior.
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