Paper Info
Title
Politics, sentiments, and misinformation: An analysis of the Twitter discussion on the 2016 Austrian Presidential Elections.
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.
Year
DOI
Venue
2018
10.1016/j.osnem.2017.12.002
Online Social Networks and Media
Keywords
Field
DocType
Case study,Network analysis,Political campaigning,Sentiment analysis,Twitter
Network science,Presidential system,Advertising,Sentiment analysis,Misinformation,Psychology,Politics
Journal
Volume
ISSN
Citations 
5
2468-6964
3
PageRank 
References 
Authors
0.50
22
2
Name
Order
Citations
PageRank
Ema Kušen1225.35
Mark Strembeck287457.86