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Discontentment trumps Euphoria: Interacting with European Politicians' migration-related messages on social media

[journal article]

Heidenreich, Tobias
Eberl, Jakob-Moritz
Lind, Fabienne
Boomgaarden, Hajo G.

Abstract

We investigate user engagement with politicians' migration discourses on social media. In particular, we study the effects of message framing and support base attitudes on interactions on Facebook and Twitter in five European countries. Enriching automated analysis of social media content with surve... view more

We investigate user engagement with politicians' migration discourses on social media. In particular, we study the effects of message framing and support base attitudes on interactions on Facebook and Twitter in five European countries. Enriching automated analysis of social media content with survey data in a multilevel negative binomial regression approach, findings show that migration-related messages tend to elicit more interactions than other kinds of messages. Furthermore, the presence of a security frame in a migration-related message positively relates to user engagement. However, additional analyses suggest that the relevance of these frames differ between different political parties. In fact, a message gets an even higher number of interactions, when the dimension of the migration issue included in those framed messages is perceived more negatively by a party's support base. The findings have important implications for communication strategies of political actors and the state of migration discourses on social media.... view less

Keywords
facebook; twitter; social media; discourse; migration; political communication; political elite; framing approach

Classification
Interactive, electronic Media
Impact Research, Recipient Research

Free Keywords
automated content analysis; user engagement

Document language
English

Publication Year
2024

Page/Pages
p. 1544-1565

Journal
New Media & Society, 26 (2024) 3

ISSN
1461-7315

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.