2026-05-22T05:37:43Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

86e76cd12a197aca66a18ce4d73664bd0be042bee3852ef7daa141beb5715836 2025-06-17T03:16:50Z language:enopenaire_data

DDI study level documentation for study 10.7802/2608 Twitter/X accounts ot the candidates in the 2023 German state election of Bavaria Twitter/X accounts ot the candidates in the 2023 German state election of Bavaria Twitter/X accounts ot the candidates in the 2023 German state election of Bavaria 10.7802/260810.7802/260810.7802/260810.7802/2608 Christlmaier, Rafael Christlmaier, Rafael Drews, Wiebke Drews, Wiebke Müller, Arthur Müller, Arthur Neumeier, Andreas Neumeier, Andreas Riedl, Jasmin Riedl, Jasmin Steup, Johannes Steup, Johannes [dtec.bw - Zentrum für Digitalisierungs- und Technologieforschung der Bundeswehr] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften election to the LandtagFederal Republic of Germanytwittersocial mediadigital mediaelection campaignelection to the LandtagFederal Republic of Germanytwittersocial mediadigital mediaelection campaign The research project, SPARTA (Society, Politics, and Risk with Twitter Analysis), funded by dtec.bw (which is funded by the European Union – NextGenerationEU), monitors the 2023 state election campaign in Bavaria live as it unfolds on Twitter/X. From September 4 to the election day on October 8, 2023, we collect and analyze all German-language posts and reposts related to the election and its central actors in real time. We publish the results in a nowcasting fashion on the project’s WebApp (https://dtecbw.de/sparta/). Among other findings, we present the stances expressed toward the main parties and their leading candidates. We also illustrate the salient issues discussed as well as the most frequently used hashtags by the election Twittersphere (for example, all tweets addressing the election and its central actors), political parties, leading candidates, and candidates for a mandate in the state parliament. We also measure the extent of negative campaigning and personalization. To enable real-time analyses of the election campaign, we created a dataset with the Twitter/X handles of all candidates for a mandate in the state parliament in August 2023. The dataset contains the Twitter/X handles and additional information about the candidates from six parties: CSU, Bündnis 90/Die Grünen, Freie Wähler, AfD, SPD, and FDP.The research project, SPARTA (Society, Politics, and Risk with Twitter Analysis), funded by dtec.bw (which is funded by the European Union – NextGenerationEU), monitors the 2023 state election campaign in Bavaria live as it unfolds on Twitter/X. From September 4 to the election day on October 8, 2023, we collect and analyze all German-language posts and reposts related to the election and its central actors in real time. We publish the results in a nowcasting fashion on the project’s WebApp (https://dtecbw.de/sparta/). Among other findings, we present the stances expressed toward the main parties and their leading candidates. We also illustrate the salient issues discussed as well as the most frequently used hashtags by the election Twittersphere (for example, all tweets addressing the election and its central actors), political parties, leading candidates, and candidates for a mandate in the state parliament. We also measure the extent of negative campaigning and personalization. To enable real-time analyses of the election campaign, we created a dataset with the Twitter/X handles of all candidates for a mandate in the state parliament in August 2023. The dataset contains the Twitter/X handles and additional information about the candidates from six parties: CSU, Bündnis 90/Die Grünen, Freie Wähler, AfD, SPD, and FDP. GermanyGermany Candidates of CSU, Bündnis 90/Die Grünen, Freie Wähler, AfD, SPD and FDP cross-sectioncross-section Total Universe / Complete enumerationTotal Universe / Complete enumeration Self-administered writings and/or diaries:Web-basedSelf-administered writings and/or diaries:Web-based Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2608 2023-09-13 ddi:codebook:2_5