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On/off(line): Patterns of party membership in digital environments. Insights from the Italian case

Published online by Cambridge University Press:  25 February 2026

Antonella Seddone*
Affiliation:
Department of Cultures, Politics and Society, University of Turin, Turin, Italy
Marco Valbruzzi
Affiliation:
Department of Social Sciences, University of Naples Federico II, Naples, Italy
*
Corresponding author: Antonella Seddone; Email: antonella.seddone@unito.it
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Abstract

Digital technologies provide a novel environment for political activities and, more specifically, for interactions between citizens and political actors. The scholarly literature on these topics is flourishing. On the one hand, studies of political communication emphasise the changing nature of election campaigns and the reshaped relationship between leaders and supporters. On the other hand, the literature on political parties examines the organisational implications of such a digital shift in more detail. Against this backdrop, this study investigates the opinions and participatory attitudes of party members towards the new digital participation opportunities that their party organisations provide. To do so, we rely on original individual survey data. More specifically, we will use data derived from a survey administered to Partito Democratico members in Italy at the beginning of 2022 (approximately 4000 respondents). Precisely, we aim to identify the profiles of party members according to their (degree of) digital activities by controlling for variables such as length of membership, levels of intraparty activism, and evaluation of intraparty democracy. Moreover, we investigate the changing relationship between members and their party organisations in the new digital ecosystem.

Information

Type
Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of European Consortium for Political Research
Figure 0

Table 1. Descriptive statistics

Figure 1

Table 2. Logistic model

Figure 2

Figure 1. Predicted probabilities: membership length.

Figure 3

Figure 2. Predicted probabilities: traditional intraparty activity.

Figure 4

Figure 3. Predicted probabilities: digital intraparty activity.

Supplementary material: File

Seddone and Valbruzzi supplementary material

Seddone and Valbruzzi supplementary material
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