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The research project SPARTA (Society, Politics and Risk with Twitter Analysis; funded by dtec.bw; dtec.bw is funded by the European Union - NextGenerationEU) collected tweets to analyse the 2023 state election campaign in Berlin. German-language tweets and retweets related to the election and its central actors were collected for training purposes of a NLP-model. The Dataset contains the Twitter handles and additional information about the candidates of six parties: CDU, SPD, Bündnis90/Die Grünen, FDP, AfD und Die Linke.

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.

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.