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Mar 17, 2026
Schmieder, Jörg; Bechstein, Emma; Benini, Claudia; Danzer, Anna-Carina; Eichinger, Raphael; Gantert, Maryse; Gasser, Tobias; Goldner, Davide; Hämmerle, Tobias; Kauer, Helena; Kreuter, Jonna; Lintner, Katja; Messemer, Niels; Miltzow, Hannah; Mohr, Jonas; Pariasek, Ella; Quirchmair, Sophia; Schimanek, Sophie; Siess, Daniel; Steger, Stefan; Sütterle, Niklas; Würtenberger, Sabrina; Hayek, Lore, 2026, "TikTok Atlas Austria: An overview of the reach and communication patterns of political actors (SUF edition)", https://doi.org/10.11587/BA1ORN, AUSSDA, V1, UNF:6:Nk9RLl3lMVihHynzFq7c7w== [fileUNF]
Full edition for scientific use. The present dataset documents the use of the platform TikTok by Austrian politicians and political parties at the federal, state, and European levels. It includes all active TikTok accounts of members of state governments, the National Council, and the European Parliament, as well as those of state and federal polit...
Tabular Data - 424.2 KB - 150 Variables, 845 Observations - UNF:6:P0uqZcM89e0eJnyU8zWGFg==
DataSTATA
Core data file – STATA format – 150 Variables, 845 Observations – German
ZIP Archive - 87.9 KB - MD5: 6decaf2c1d72d554059170b79f110e28
CSVData
Core data file – compressed CSV format – 150 Variables, 845 Observations – German
Unknown - 163.0 KB - MD5: 5072aaa6d08b2b8cc7ed0990f782325e
DataSPSS
Core data file – compressed SPSS format – 150 Variables, 845 Observations – German
Adobe PDF - 476.8 KB - MD5: d65a248249d5d010ab8110453a4cfcc4
CodebookDocumentation
Codebook – German
Adobe PDF - 204.3 KB - MD5: 515ec87045e6b30d7b47111dac4adfc3
DocumentationMethod report
Method report – German
Adobe PDF - 55.6 KB - MD5: ec849d92d7c72d45843a0e1c35fcbd39
Documentation
Data curation protocol
Tabular Data - 10.7 KB - 3 Variables, 348 Observations - UNF:6:WLrs6sLjyuX1n5noPpnJ9Q==
Documentation
Variable identifiers and descriptions – machine-readable – German
Mar 6, 2026 - Public
Kraemer, Klaus; Jakelja, Luka, 2026, "Trusted Money? A sociological survey on money knowledge, money trust and money usages (SUF edition)", https://doi.org/10.11587/YOBDZE, AUSSDA, V1, UNF:6:URxKVkzS56XnvlfvAQth9g== [fileUNF]
Full edition for scientific use. The purpose of this survey is to empirically study different aspects derived from Georg Simmel’s work within the Sociology of Money: What people know about money? Whether people trust in money? And how people use money? The data were collected as a face-to-face survey, being representative of the Austrian residentia...
Tabular Data - 931.4 KB - 108 Variables, 2018 Observations - UNF:6:OsRNyaX2TaCeow+5PynMkg==
DataSTATA
Core data file – STATA format – 108 Variables, 2018 Observations — German
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