AUSSDA

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Publication Year: 2021

221 to 230 of 878 Results

10727_da_en_v1_0.zip Sep 14, 2021 - AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition) ZIP Archive - 5.8 KB - MD5: d25606a730d9260b39a1ac3f49340964 CSVData Core data file - compressed csv format - 52 Variables, 274 Observations
10727_da_en_v1_0.zsav Sep 14, 2021 - AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition) Unknown - 1.8 MB - MD5: 53bd00982a2b41192612c738bf8aba75 DataSPSS Core data file - compressed SPSS format - 52 Variables, 274 Observations
10727_vi_en_v1_0.tab Sep 14, 2021 - AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition) Tabular Data - 2.0 MB - 3 Variables, 57562 Observations - UNF:6:82Dcd5J/5WSFxi0pnxDRrw== Documentation Variable identifiers and descriptions - machine-readable
Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition) Sep 13, 2021 - COVID-19 Pandemic Hadler, Markus; Klösch, Beate; Lex, Elisabeth; Reiter-Haas, Markus, 2021, "Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)", https://doi.org/10.11587/OVHKTR, AUSSDA, V1, UNF:6:jPjxWXqS6RVg4uYo3Zplcw== [fileUNF] Full edition for scientific use. Our research aims to measure polarization in public opinion, combining two state-of-the-art approaches in measuring opinion - survey research and big data analytics of social media. We focus on the topic of polarization of opinions on COVID-19 and...
10748_da_de_v1_0.tab Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition) Tabular Data - 523.2 KB - 50 Variables, 2560 Observations - UNF:6:jmLG0YIUSn6TTaUououfAQ== DataSTATA Core data file - STATA format - 50 Variables, 2560 Observations
10748_da_de_v1_0.zip Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition) ZIP Archive - 63.9 KB - MD5: 378999feb032d1b391a40fca53136f56 CSVData Core data file - compressed CSV format - 50 Variables, 2560 Observations
10748_da_de_v1_0.zsav Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition) Unknown - 94.7 KB - MD5: f80fd29022b2fad9fc85c0bf557b6878 DataSPSS Core data file - compressed SPSS format - 50 Variables, 2560 Observations
10748_mr_de_v1_0.pdf Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition) Adobe PDF - 163.5 KB - MD5: 78947b639e3d796283fcd16b8a3e18e9 DocumentationMethod report Method report
10748_qu_de_v1_0.pdf Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition) Adobe PDF - 182.6 KB - MD5: 135d15a8b890dbdbed24db39462106b5 DocumentationQuestionnaire Questionnaire
10748_vi_de_v1_0.tab Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition) Tabular Data - 15.4 KB - 3 Variables, 356 Observations - UNF:6:RcJ6ydu7bdwMKq3uhVmGjg== Documentation Variable identifiers and descriptions - machine-readable

10727_da_en_v1_0.zip

Sep 14, 2021 - AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition)

ZIP Archive - 5.8 KB -

CSVData

Core data file - compressed csv format - 52 Variables, 274 Observations

10727_da_en_v1_0.zsav

Sep 14, 2021 - AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition)

Unknown - 1.8 MB -

DataSPSS

Core data file - compressed SPSS format - 52 Variables, 274 Observations

10727_vi_en_v1_0.tab

Sep 14, 2021 - AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition)

Tabular Data - 2.0 MB - 3 Variables, 57562 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

Sep 13, 2021 - COVID-19 Pandemic

Hadler, Markus; Klösch, Beate; Lex, Elisabeth; Reiter-Haas, Markus, 2021, "Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)", https://doi.org/10.11587/OVHKTR, AUSSDA, V1, UNF:6:jPjxWXqS6RVg4uYo3Zplcw== [fileUNF]

Full edition for scientific use. Our research aims to measure polarization in public opinion, combining two state-of-the-art approaches in measuring opinion - survey research and big data analytics of social media. We focus on the topic of polarization of opinions on COVID-19 and...

10748_da_de_v1_0.tab

Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

Tabular Data - 523.2 KB - 50 Variables, 2560 Observations -

DataSTATA

Core data file - STATA format - 50 Variables, 2560 Observations

10748_da_de_v1_0.zip

Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

ZIP Archive - 63.9 KB -

CSVData

Core data file - compressed CSV format - 50 Variables, 2560 Observations

10748_da_de_v1_0.zsav

Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

Unknown - 94.7 KB -

DataSPSS

Core data file - compressed SPSS format - 50 Variables, 2560 Observations

10748_mr_de_v1_0.pdf

Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

Adobe PDF - 163.5 KB -

DocumentationMethod report

Method report

10748_qu_de_v1_0.pdf

Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

Adobe PDF - 182.6 KB -

DocumentationQuestionnaire

Questionnaire

10748_vi_de_v1_0.tab

Sep 13, 2021 - Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

Tabular Data - 15.4 KB - 3 Variables, 356 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

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