Disentangling the longitudinal relationship between social media use, political expression and political participation: What do we really know?

Author(s)
Jörg Matthes, Andreas Nanz, Marlis Stubenvoll, Ruta Kaskeleviciute
Abstract

The reciprocal associations between social media use, political expression, and political participation are central to communication scholars. The cross-lagged panel model (CLPM) represents a common and widely advocated analytic approach to test these relationships. However, it fails to separate within- from between-person effects. In this paper, we propose a random intercept cross-lagged panel model (RI-CLPM) disaggregating within-person and between-person effects. Using three-wave panel data, we demonstrate positive associations between social media use, political expression and online as well as offline participation consistently across waves using the CLPM. However, these relations could not be observed at the within-person effects level with the RI-CLPM. This suggests that the associations between social media use, political expression and political participation are mainly driven by trait-like differences and not by individual changes over time, fundamentally challenging some of the key conclusions of previous research. Implications for communication scholarship are discussed.

Organisation(s)
Department of Communication
External organisation(s)
Technische Universität München, Alpen-Adria-Universität Klagenfurt, Ludwig-Maximilians-Universität München
Journal
Communication Research (CR)
ISSN
0093-6502
DOI
https://doi.org/10.1177/00936502261430387
Publication date
02-2026
Peer reviewed
Yes
Austrian Fields of Science 2012
508007 Communication science
Keywords
ASJC Scopus subject areas
Communication, Language and Linguistics, Linguistics and Language
Portal url
https://ucrisportal.univie.ac.at/en/publications/9fce7d13-cfca-439a-8e83-79729807d7d8