König Tim, Schünemann Wolf J, Brand Alexander, Freyberg Julian, Gertz Michael
Institute of Social Sciences, University of Hildesheim, Hildesheim, Germany.
Institute of Computer Science, Heidelberg University, Heidelberg, Germany.
Polit Vierteljahresschr. 2022;63(3):529-547. doi: 10.1007/s11615-022-00405-7. Epub 2022 Jun 15.
This research note introduces the EPINetz Twitter Politicians Dataset, a comprehensive dataset of 2449 Twitter accounts of German parliamentarians, minsters, state secretaries, parties, and ministries on a state, federal, and European Union level for the year 2021. This hand-curated dataset not only provides up-to-date information on elected officials, but it also includes additional variables such as their party affiliation, age, and gender. Furthermore, it provides linkages to additional data sources by providing the accounts' Wikidata and Abgeordnetenwatch (Parliamentwatch) IDs. While it does not provide actual tweet data, the dataset will be a valuable resource for researchers by providing easy access to elected German politicians. We demonstrate some of the dataset's uses with an analysis of the 2021 German Federal Elections. The full dataset can be accessed via 10.7802/2415.
The online version of this article (10.1007/s11615-022-00405-7) contains supplementary material, which is available to authorized users.
本研究报告介绍了EPINetz推特政治家数据集,这是一个包含2021年德国各州、联邦和欧盟层面的2449个德国议员、部长、国务秘书、政党和部委推特账户的综合数据集。这个精心整理的数据集不仅提供了当选官员的最新信息,还包括他们的政党归属、年龄和性别等额外变量。此外,通过提供账户的维基数据和议员观察(议会观察)ID,它还提供了与其他数据源的链接。虽然它不提供实际的推文数据,但该数据集将通过提供对当选德国政治家的便捷访问,成为研究人员的宝贵资源。我们通过对2021年德国联邦选举的分析展示了该数据集的一些用途。完整数据集可通过10.7802/2415访问。
本文的在线版本(10.1007/s11615-022-00405-7)包含补充材料,授权用户可获取。