Keyword Term: Election campaigns
Author Name: Ennser-Jedenastik, Laurenz
Data Type: Numeric
Unit of Analysis: Text Unit
Author Name: Huber, Lena Maria
1 to 6 of 6 Results
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... |
Dec 16, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)", https://doi.org/10.11587/17OKDP, AUSSDA, V1, UNF:6:+TjGT7eMuO/jI+6Fnkm+0Q== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party Facebook pages contains information on parties’ Facebook posts during the six weeks of election campaign for the Austrian general election in 2017. We retrieved posts for all relevant parties and their top candidates. E... |
Sep 14, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition)", https://doi.org/10.11587/SFCAOO, AUSSDA, V1, UNF:6:twK78m7ZzwRCP0E8UxU+YQ== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party newspaper ads 2017 contains data on advertisements published in Austria's leading newspapers (Der Standard, Die Presse, Heute, Kleine Zeitung, Kronen Zeitung, Kurier, Österreich, Salzburger Nachrichten) within the last... |
Apr 9, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)", https://doi.org/10.11587/EVSU6G, AUSSDA, V1, UNF:6:xoZ35Wfcr7N5fcP3tlZotQ== [fileUNF]
Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national election 2017. The coding procedure applies the AUTNES relational approach of recording subje... |
Apr 9, 2021 - 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; Reidinger, Verena; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)", https://doi.org/10.11587/25P2WR, AUSSDA, V1, UNF:6:V9hNiWjjSnOK8j2CFzWZlw== [fileUNF]
Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national elections 2002, 2006, 2008, 2013 and 2017. The coding procedure applies the AUTNES relational... |
Jan 27, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Wurzer, Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)", https://doi.org/10.11587/9LZSK5, AUSSDA, V1, UNF:6:sJ8nnBvgrK1dCf0zHFMfHg== [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 election 2017. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized... |