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User roles in online political discussions: A typology based on Twitter data from the German Federal Election 2017

 
: Gimpel, Henner; Haamann, Florian; Schoch, Manfred; Wittich, Marcel

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Volltext (PDF; )

Bednar, P.M. ; Association for Information Systems -AIS-:
26th European Conference on Information Systems, ECIS 2018. Proceedings. Online resource : Beyond Digitization - Facets of Socio-Technical Change; Portsmouth, UK, June 23-28, 2018
Portsmouth, 2018
https://aisel.aisnet.org/ecis2018/
Paper 8, 17 S.
European Conference on Information Systems (ECIS) <26, 2018, Portsmouth>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FIT ()
Social Media; user behavior; emergent role; digital trace data; political discourse

Abstract
Twitter is well recognized as a microblogging site, an online social network (OSN), and increasingly as a digital news platform. With the changing media usage behavior over the past decade, political actors have now recognized the need to enrich their election campaign efforts by including social media strategies. However, previous research has shown that users behave heterogeneously in online political discussions. To better understand how users behave and interact in such debates, we conduct an exploratory study to identify emergent user roles from Twitter data. We develop a dynamic selection query to collect a representative data set on the German federal election of 2017. We define features of structure, function, and time for Twitter discussions and conduct a cluster analysis to derive eleven emergent roles from the 30,553 most active users. We then refine those roles by further data-driven analyses to enhance and deepen their understanding. Our results indicate dominance of the online discussion by the populist party Alternative für Deutschland. We also find that media outlets and political parties show somewhat similar behavior, and that the offline popularity of prestigious actors is extended into the online world.

: http://publica.fraunhofer.de/dokumente/N-531182.html