Summary information
Study title
Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)
Creator
Hadler, Markus (University of Graz)
Klösch, Beate (University of Graz)
Lex, Elisabeth (Graz University of Technology)
Reiter-Haas, Markus (Graz University of Technology)
Study number / PID
doi:10.11587/OVHKTR (DOI)
Data access
Information not available
Series
Not available
Abstract
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.
Topics
Keywords
Methodology
Data collection period
30/07/2020 - 10/08/2020
Country
Austria, Germany, Switzerland
Time dimension
Cross-section
Analysis unit
Individual
Universe
Internet users aged from 18 to 69 from Germany, Austria and the German-speaking regions of Switzerland.
Sampling procedure
Non-probability: Quota
Kind of data
Numeric
Data collection mode
Self-administered questionnaire: Web-based
Funding information
Funder
University of Graz
Grant number
n/a
Funder
Graz University of Technology
Grant number
n/a
Access
Publisher
The Austrian Social Science Data Archive
Publication year
2021
Terms of data access
For more Information please visit AUSSDA's web page
Related publications
Not available