Bridging the Gap of Polarization in Public Opinion on Misinformed Topics

Markus Reiter-Haas, Beate Klösch, Markus Hadler, Elisabeth Lex

Research output: Contribution to conferencePaperpeer-review


This research combines public opinion and social media data
from German-speaking countries on polarizing topics from the same respondents. We analyze the survey data from a sociological perspective and the social media data from a computer science perspective. Results show that, e.g., Twitter users are less likely to believe in and tweet about non-natural origins of COVID-19 than the overall sample
Original languageEnglish
Publication statusPublished - 2020
Event12th International Conference on Social Informatics: SocInfo 2020 - Virtuell, Italy
Duration: 6 Oct 20209 Oct 2020


Conference12th International Conference on Social Informatics

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