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1 to 10 of 24 Results
Oct 6, 2022 - AUTNES
Gründl, Johann; Oberluggauer, Patricia; Eberl, Jakob-Moritz; Glantschnigg, Christian; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)", https://doi.org/10.11587/BTEFJH, AUSSDA, V1, UNF:6:rADn4Yz4W0fvav/dwW1KMw== [fileUNF]
Full edition for scientific use. This study adds to the existing manual content analysis on the media coverage of the 2013 Austrian national election. It emphasizes political actors, issues, and their evaluation. 8998 contributions from 14 print and TV media (selected according t...
Oct 6, 2022 - AUTNES
Eberl, Jakob-Moritz; Vonbun, Ramona; Haselmayer, Martin; Jacobi, Carina; Kleinen-von Königslöw, Katharina; Schönbach, Klaus; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2013 (SUF edition)", https://doi.org/10.11587/JCOZJB, AUSSDA, V1, UNF:6:BZ5hT7XgIS3R3YiQ9Us8Kg== [fileUNF]
Full edition for scientific use. This is a dataset on the media coverage on the 2013 Austrian National Election. 9000 contributions from 14 print and TV media (selected according to various criteria in order to represent the Austrian media landscape as accurately as possible) wer...
Aug 23, 2022 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2022, "AUTNES Content Analysis of Party Websites 2013 (SUF edition)", https://doi.org/10.11587/TQVSLQ, AUSSDA, V1, UNF:6:RgH5YqkZxsNadZUThetBzA== [fileUNF]
Full edition for scientific use. The dataset “AUTNES Content Analysis of Party Websites 2013” covers all party websites of parties gaining at least two percent of the votes in the 2013 national election. The party websites were saved each day during the six weeks prior to the gen...
Aug 17, 2022 - AUTNES
Litvyak, Olga; Balluff, Paul; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2019 (SUF edition)", https://doi.org/10.11587/FVTDXG, AUSSDA, V1, UNF:6:uEkcRQLAYjLigOZtzlFONQ== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES manual content analysis of media coverage of the Austrian National Election held on 29 September 2019. This study is part of the Austrian National Election Study (AUTNES).
Aug 11, 2022 - AUTNES
Litvyak, Olga; Fischeneder, Andreas; Balluff, Paul; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Automatic Content Analysis of the Media Coverage 2019 (SUF edition)", https://doi.org/10.11587/ZY7KSQ, AUSSDA, V2, UNF:6:LotitDNS2g8HxYFEh+Kjpw== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES automatic content analysis of media coverage of the Austrian National Election held on 29 September 2019. This study is part of the Austrian National Election Study (AUTNES).
Aug 11, 2022 - AUTNES
Galyga, Sebastian; Litvyak, Olga; Balluff, Paul; Eberl, Jakob-Moritz; Rettenegger, Gregor; Egelhofer, Laura Jana; Aaldering, Loes; Lecheler, Sophie; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2017 (SUF edition)", https://doi.org/10.11587/IYGIBZ, AUSSDA, V2, UNF:6:381Xf2161PT6n3RR1jaYLA== [fileUNF]
Full edition for scientific use. The dataset comprises data of the AUTNES manual content analysis of media coverage of the Austrian National Election held on 15 October 2017. This study is part of the Austrian National Election Study (AUTNES).
Aug 11, 2022 - AUTNES
Litvyak, Olga; Rettenegger, Gregor; Fischeneder, Andreas; Galyga, Sebastian; Eberl, Jakob-Moritz; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Automatic Content Analysis of the Media Coverage 2017 (SUF edition)", https://doi.org/10.11587/UCQBQQ, AUSSDA, V2, UNF:6:vyisGY70e5eZ0f0o+n+Kng== [fileUNF]
Full edition for scientific use. The dataset comprises data of the AUTNES automatic content analysis of media coverage of the Austrian National Election held on 15 October 2017. This study is part of the Austrian National Election Study (AUTNES).
Jun 9, 2022 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2022, "AUTNES Content Analysis of Party Leader Statements 2008 (SUF edition)", https://doi.org/10.11587/RC5ZCM, AUSSDA, V1, UNF:6:JLF9ZDgwGJn2I77aYZ3HIA== [fileUNF]
Full edition for scientific use. The AUTNES coding of leader statements covers all public statements and actions of leaders of relevant parties in the six weeks before the 2008 election, as documented in Austria’s two leading quality newspapers (Der Standard and Die Presse). Lead...
Jun 9, 2022 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2022, "AUTNES Content Analysis of Party Leader Statements 2006 (SUF edition)", https://doi.org/10.11587/Z9KRC3, AUSSDA, V1, UNF:6:wmJan+5R2SFjqIi1jxBCog== [fileUNF]
Full edition for scientific use. The AUTNES coding of leader statements covers all public statements and actions of leaders of relevant parties in the six weeks before the 2006 election, as documented in Austria’s two leading quality newspapers (Der Standard and Die Presse). Lead...
Jun 7, 2022 - AUTNES
Kleinen-von Königslöw, Katharina; Haselmayer, Martin; Jacobi, Carina; Eberl, Jakob-Moritz; Vonbun, Ramona; Schönbach, Klaus; Boomgaarden, Hajo G., 2022, "AUTNES Automatic Content Analysis of the Media Coverage 2013 (SUF edition)", https://doi.org/10.11587/NJ1ZTP, AUSSDA, V1, UNF:6:SnFQ3UAAz/TAAzHaouQfDw== [fileUNF]
Full edition for scientific use. This is a dataset on the media coverage on the 2013 Austrian National Election. 43021 contributions from 61 print TV, radio and online media (selected according to various criteria to represent the Austrian media landscape as accurately as possibl...
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