Polarization in public opinion: Combining social surveys and big data analyses of Twitter (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 AUSSDA
Publication Year 2021
OpenAccess true
Representation
Resource Type Dataset
Discipline Social Sciences