• Artikel / Aufsatz
  • Who Is Connected to Whom? A Twitter-Based Network Analysis of Members of…

Who Is Connected to Whom? A Twitter-Based Network Analysis of Members of the European Parliament Elected in 2019

GND
1180077512
ORCID
0000-0002-8977-4541
LSF
58701
Zugehörige Organisation
Institut Für Politikwissenschaft, Universität Duisburg-Essen, Duisburg, Germany
Haußner, Stefan;
GND
1136793011
Zugehörige Organisation
Institut Für Politikwissenschaft, Universität Duisburg-Essen, Duisburg, Germany
Klika, Christoph
In this article, we aim to contribute to the literature on political communication on social media in the context of the European Union (EU). By analysing Twitter connections of the Members of European Parliament (MEPs) elected to the European Parliament (EP) in 2019, we aim to identify relational patterns of MEPs at the individual and party group level. The results of a social network analysis confirm the assumption that MEPs have stronger connections within political groups.

Vorschau

Einordnung

Datum der Veröffentlichung:
13.07.2022
URN:
urn:nbn:de:hbz:465-20220712-143220-0
DOI:
10.1007/978-3-658-29277-5_34
Sprache:
Englisch
Ressourcentyp:
Text
Schlagwörter:
Social Network Analysis; European Parliament; Twitter; communication; election campaign
Kollektion:
E-Publikationen
Sachgruppen der Deutschen Nationalbibliographie:
320 Politik
Einrichtung:
Fakultät für Gesellschaftswissenschaften, Institut für Politikwissenschaft (IfP)
Informationen zur Erstveröffentlichung:

This is a post-peer-review, pre-copyedit version of:

Haußner, S., Klika, C. (2020). Who Is Connected to Whom? A Twitter-Based Network Analysis of Members of the European Parliament Elected in 2019. In: Kaeding, M., Müller, M., Schmälter, J. (eds) Die Europawahl 2019. Springer VS, Wiesbaden, p. 423-435. Published 19 May 2020.

The final authenticated version is available online at: https://doi.org/10.1007/978-3-658-29277-5_34

Restriktion:
Articles, books and chapters published within the Springer Nature group of companies which are made available through academic repositories remain subject to copyright. Any further use is subject to permission from Springer Nature. https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
Versionskennzeichen:
Authors Accepted Manuscript

Zitieren

Zitierform:
Zitierform konnte nicht geladen werden.

Rechte

Nutzung und Vervielfältigung:
Alle Rechte vorbehalten