Abstract
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
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 language | English |
|---|---|
| Publication status | Published - 2020 |
| Event | 12th International Conference on Social Informatics: SocInfo 2020 - Virtuell, Italy Duration: 6 Oct 2020 → 9 Oct 2020 |
Conference
| Conference | 12th International Conference on Social Informatics |
|---|---|
| Country/Territory | Italy |
| City | Virtuell |
| Period | 6/10/20 → 9/10/20 |