The Digital Society Project is proud to present in conjunction with GESIS – Leibniz Institute for the Social Sciences, German Longitudinal Election Study, and Twitter the Germany Candidate Dataset 2021. This pre-release dataset contains data and Twitter screen names for all candidates for the 2021 German federal elections from the seven major German political parties. Subsequent releases will add credible candidates from non-major parties.
The candidate information was collected since the start of 2021 and validated against the official candidate data published by the Federal Returning Officer (Bundeswahlleiter). It includes full names, gender, party, incumbency, and — when appropriate — district, list place, and state. The data should be valuable for researchers who want to collect candidate tweets in real time during the hot phase of the 2021 German election campaign. Thanks to Twitter’s new Academic Research Product Track, researchers can even retrospectively collect historical tweets sent by election candidates. We hope that the released data and newly available tools for data collection open up new avenues for reproducible research with social media data.
The following zip file contains the data in CSV and Excel formats and the codebook:
Bäuerle, Joscha, Manuela Blumenberg, Marius Sältzer, Sebastian Stier, Valeriya Mechkova, Daniel Pemstein, Brigitte Seim, and Steven Wilson. 2021. Germany Candidate Dataset 2021. GESIS – Leibniz Institute for the Social Sciences, German Longitudinal Election Study, and Digital Society Project.