Actual, potential, and non-participants: Advancing the differential analysis of protest participation
Mercea, D. ORCID: 0000-0003-3762-2404, Gonzalez Santos, F. & Hoffmann, M. (2024). Actual, potential, and non-participants: Advancing the differential analysis of protest participation. Political Studies, doi: 10.1177/00323217241297905
Abstract
In this article, we contribute to the analysis of protest participation on a gradient from non- to actual participation. Using survey data from six European countries, we take the analysis beyond a binary differentiation between participants and non-participants. We evidence a participation gradient underpinned by a combination of social and political variables and separate patterns that allow for distinctions between non-, potential, and actual protesters. We establish that some factors have a gradual, linear, relation to protest participation, increasing the likelihood of moving from non-participation to potential participation and from potential to actual participation. Second, we find evidence of a punctuated rather than a linear participation gradient in as far as a range of variables distinguish protesters and potential protesters from non-participants but do not differentiate them from each other. Our findings provide practical insights into mobilization pathways while also inviting further research into intervening factors influencing protest behavior.
Publication Type: | Article |
---|---|
Publisher Keywords: | protest participation, mobilization potential, recruitment, active social media usage |
Subjects: | H Social Sciences > HN Social history and conditions. Social problems. Social reform J Political Science > JA Political science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Departments: | School of Policy & Global Affairs School of Policy & Global Affairs > Sociology & Criminology |
SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial.
Download (1MB) | Preview
Export
Downloads
Downloads per month over past year