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?:about
?:abstract
  • 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. (xsd:string)
?:archivedAt
?:category
  • Political Science (en)
  • Political Science (de)
?:citationString
  • Drews, Wiebke, Müller, Arthur, Neumeier, Andreas, Riedl, Jasmin, & Steup, Johannes (2022): Twitter accounts of the candidates in the 2022 German state election of North Rhine-Westphalia. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2468 (en)
  • Drews, Wiebke, Müller, Arthur, Neumeier, Andreas, Riedl, Jasmin, & Steup, Johannes (2022): Twitter accounts of the candidates in the 2022 German state election of North Rhine-Westphalia. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2468 (de)
?:comment
  • The research project SPARTA (funded by dtec.bw) carries out real-time analyses of election campaigns as they unfold on Twitter. For the 2022 North Rhine-Westphalian state election campaign, we monitored the stances expressed towards parties and candidates, the most salient issues discussed and the most frequently used hashtags in tweets and retweets addressing the election. (xsd:string)
?:conditionsOfAccess
  • Free access (with registration) (en)
  • Freier Zugang (mit Registrierung) (de)
?:currentVersion
  • 1.0.0, https://doi.org/10.7802/2468 (xsd:string)
?:dataCollection
  • Eigenständig durchgeführte schriftliche Aufzeichnung:Web-basiert (de)
  • Self-administered writings and/or diaries:Web-based (en)
?:dateCreated
  • 2022 (xsd:gyear)
?:dateModified
  • 2022-01-01 (xsd:date)
?:datePublished
  • 2022 (xsd:gyear)
?:doi
  • 10.7802/2468 ()
?:endDate
  • 2022-01-01 (xsd:date)
?:funder
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:linksCodebook
?:measurementTechnique
  • Querschnitt (de)
  • cross-section (en)
?:name
  • Twitter accounts of the candidates in the 2022 German state election of North Rhine-Westphalia (xsd:string)
?:principalInvestigator
  • Drews, Wiebke (xsd:string)
  • Müller, Arthur (xsd:string)
  • Neumeier, Andreas (xsd:string)
  • Riedl, Jasmin (xsd:string)
  • Steup, Johannes (xsd:string)
  • [Heimes, Marius; Universität der Bundeswehr München (Data Collector) [=] Thost, Erwin Amadeus; Universität der Bundeswehr München (Data Collector)] (xsd:string)
?:provider
?:publicationType
  • SowiDataNet|datorium (en)
?:publisher
?:selectionMethod
  • Total Universe / Complete enumeration (en)
  • Vollerhebung (de)
?:sourceInfo
  • GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2468 (en)
  • GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2468 (de)
  • GESIS-SowiDataNet|datorium (xsd:string)
?:spatialCoverage
?:startDate
  • 2022-01-01 (xsd:date)
?:studyPublications
  • SPARTA (2022): State Election NRW '22. Retrieved from: https://dtecbw.de/sparta/nrw22election?lang=en (xsd:string)
?:thematicCollection
  • Digital Behavioral Data (en)
  • Digitale Verhaltensdaten (de)
rdf:type
?:variableMeasured
  • Candidates of CDU, SPD, Bündnis 90/Die Grünen, FDP, AfD and Die Linke (xsd:string)