Bridging the Gap of Polarization in Public Opinion on Misinformed Topics

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

Bridging the Gap of Polarization in Public Opinion on Misinformed Topics

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

Institute of Interactive Systems and Data Science (7060)

Publikation: Konferenzbeitrag › Paper › Begutachtung

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

Originalsprache	englisch
Publikationsstatus	Veröffentlicht - 2020
Veranstaltung	12th International Conference on Social Informatics: SocInfo 2020 - Virtuell, Italien Dauer: 6 Okt. 2020 → 9 Okt. 2020

Konferenz

Konferenz	12th International Conference on Social Informatics
Land/Gebiet	Italien
Ort	Virtuell
Zeitraum	6/10/20 → 9/10/20

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title = "Bridging the Gap of Polarization in Public Opinion on Misinformed Topics",

abstract = "This research combines public opinion and social media datafrom 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",

author = "Markus Reiter-Haas and Beate Kl{\"o}sch and Markus Hadler and Elisabeth Lex",

year = "2020",

language = "English",

note = "12th International Conference on Social Informatics : SocInfo 2020 ; Conference date: 06-10-2020 Through 09-10-2020",

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T1 - Bridging the Gap of Polarization in Public Opinion on Misinformed Topics

AU - Reiter-Haas, Markus

AU - Klösch, Beate

AU - Hadler, Markus

AU - Lex, Elisabeth

PY - 2020

Y1 - 2020

N2 - This research combines public opinion and social media datafrom 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

AB - This research combines public opinion and social media datafrom 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

M3 - Paper

T2 - 12th International Conference on Social Informatics

Y2 - 6 October 2020 through 9 October 2020

ER -

Bridging the Gap of Polarization in Public Opinion on Misinformed Topics

Abstract

Konferenz

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