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

DOI

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 climate change and identify if and how polarization - a shift towards more extreme positions - occurs within both sources, if and how opinions and respondents differ between sources, and whether the opinions in the two sources are aligned.

Identifier
DOI https://doi.org/10.11587/ovhktr
Metadata Access https://api.datacite.org/dois/10.11587/ovhktr
Provenance
Creator Hadler, Markus; Klösch, Beate; Lex, Elisabeth; Reiter-Haas, Markus
Publisher AUSSDA
Contributor The Austrian Social Science Data Archive; AUSSDA
Publication Year 2021
Funding Reference University of Graz: n/a; Graz University of Technology: n/a
OpenAccess true
Representation
Resource Type Dataset; Numeric
Format application/octet-stream; text/tab-separated-values; application/zip; application/pdf
Size 97000; 535710; 65406; 15730; 167382; 186994
Version 1.1
Discipline Social Sciences
Spatial Coverage Austria; Germany; Switzerland