Twitter accounts of the candidates in the 2022 German state election of North Rhine-Westphalia

The research project SPARTA (Society, Politics and Risk with Twitter Analysis; funded by dtec.bw) monitored the 2022 state election campaign in North Rhine-Westphalia live as it unfolded on Twitter. From April 4 to election day on May 15, 2022, all German-language tweets and retweets related to the election and its central actors were collected and analyzed in real time. The results were published in a nowcasting fashion on the project’s WebApp (https://dtecbw.de/sparta/). Among others, we presented the stances expressed toward the main parties and their leading candidates. We also illustrated the salient issues discussed as well as the most frequently used hashtags by the election Twittersphere (e.g., all tweets addressing the election and its central actors), political parties, leading candidates, and candidates for a mandate in the state parliament. To enable real-time analyses of the election campaign, we created a dataset with the Twitter handles of all candidates for a mandate in the state parliament in March 2022. The dataset contains the Twitter handles and additional information about the candidates of six parties: CDU, SPD, Bündnis 90/Die Grünen, FDP, AfD and Die Linke.

Total Universe / Complete enumeration

Self-administered writings and/or diaries:Web-based

Identifier
Source https://search.gesis.org/research_data/SDN-10.7802-2468?lang=de
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=27c12b7f9bbfd3d1f3f5c453a438a396eb74f442375acab4cd6b3aa5e43c9439
Provenance
Creator Drews, Wiebke; Müller, Arthur; Neumeier, Andreas; Riedl, Jasmin; Steup, Johannes
Publisher GESIS Data Archive for the Social Sciences; GESIS Datenarchiv für Sozialwissenschaften
Publication Year 2022
Funding Reference [dtec.bw]
Rights Free access (with registration) - The research data can be downloaded by registered users.; Freier Zugang (mit Registrierung) - Die Forschungsdaten können von allen registrierten Nutzerinnen und Nutzern heruntergeladen werden.
OpenAccess true
Contact http://www.gesis.org/
Representation
Language English; German
Discipline Social Sciences
Spatial Coverage Germany; Germany