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.

Non-probability: Quota

Self-administered questionnaire: Web-based

Identifier
DOI https://doi.org/10.11587/OVHKTR
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=f61c875a2a1a915752df93eb1444ca77dccb55eea8d593b1ba238e544d052a8b
Provenance
Creator Hadler, Markus; Klösch, Beate; Lex, Elisabeth; Reiter-Haas, Markus
Publisher AUSSDA; The Austrian Social Science Data Archive
Publication Year 2021
Rights For more Information please visit AUSSDA's web page
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage Austria; Germany; Switzerland