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          <titl xml:lang="en">DDI study level documentation for study 10.7802/2532 Twitter accounts of the candidates in the 2023 German state election of Berlin</titl>
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        <AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="en">Steup, Johannes
        </AuthEnty><AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="de">Steup, Johannes
        </AuthEnty><AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="en">Riedl, Jasmin
        </AuthEnty><AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="de">Riedl, Jasmin
        </AuthEnty><AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="en">Neumeier, Andreas
        </AuthEnty><AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="de">Neumeier, Andreas
        </AuthEnty><AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="en">Drews, Wiebke
        </AuthEnty><AuthEnty affiliation="Universität der Bundeswehr München" xml:lang="de">Drews, Wiebke
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        <keyword xml:lang="en">Berlin</keyword><keyword xml:lang="en">Landtagswahl</keyword><keyword xml:lang="en">Bundesrepublik Deutschland</keyword><keyword xml:lang="en">Twitter</keyword><keyword xml:lang="en">Soziale Medien</keyword><keyword xml:lang="en">Digitale Medien</keyword><keyword xml:lang="en">Wahlkampf</keyword><keyword xml:lang="de">Berlin</keyword><keyword xml:lang="de">Landtagswahl</keyword><keyword xml:lang="de">Bundesrepublik Deutschland</keyword><keyword xml:lang="de">Twitter</keyword><keyword xml:lang="de">Soziale Medien</keyword><keyword xml:lang="de">Digitale Medien</keyword><keyword xml:lang="de">Wahlkampf</keyword>
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      <abstract xml:lang="en">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.</abstract><abstract xml:lang="de">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.</abstract>
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