Quotation Kusen, Ema, Strembeck, Mark. 2018. Politics, sentiments, and misinformation: An analysis of the Twitter discussion on the 2016 Austrian Presidential Elections. Online Social Networks and Media 5, 37-50.


RIS


BibTeX

Abstract

In this paper, we provide a sentiment analysis of the Twitter discussion on the 2016 Austrian presidential elections. In particular, we extracted and analyzed a data-set consisting of 343645 Twitter messages related to the 2016 Austrian presidential elections. Our analysis combines methods from network science and sentiment analysis. Among other things, we found that: a) the winner of the election (Alexander Van der Bellen) predominantly sent tweets resulting in neutral sentiment scores, while his opponent (Norbert Hofer) preferred emotional messages (i.e. tweets resulting in positive or negative sentiment scores), b) negative information about both candidates continued spreading for a longer time compared to neutral and positive information, c) there was a clear polarization in terms of the sentiments spread by Twitter followers of the two presidential candidates, d) the winner of the election received considerably more likes and retweets, while his opponent received more replies, e) the Twitter followers of the winner substantially participated in the spread of misinformation about him.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Online Social Networks and Media
Language English
Title Politics, sentiments, and misinformation: An analysis of the Twitter discussion on the 2016 Austrian Presidential Elections
Volume 5
Year 2018
Page from 37
Page to 50
Reviewed? Y
DOI http://dx.doi.org/10.1016/j.osnem.2017.12.002

Associations

People
Kusen, Ema (Details)
Strembeck, Mark (Details)
Organization
Information Systems and New Media IN (Details)
Research Institute for Cryptoeconomics FI (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1138 Information systems (Details)
5912 Social sciences (interdisciplinary) (Details)
Google Scholar: Search