Topic Classification Term: Political ideology ((CESSDA Topic Classification))
Language: English
Topic Classification Term: Elections ((CESSDA Topic Classification))
Keyword Term: Election campaigns
Time Method: Longitudinal: Trend/Repeated cross-section
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Aug 24, 2023 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina; Wurzer, Katharina, 2020, "AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)", https://doi.org/10.11587/DEHBL2, AUSSDA, V2, UNF:6:p2ne5b60LkqZaaCz5FXl9Q== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2002-2017. All natural sentences within the manifestos are part of the dataset. The units of analysis are standar... |