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
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage Austria; Germany; Switzerland