We present a project investigating the impact of social media on ideological structuring of political attitudes in a generational perspective, with Italy (around the 2024 European Parliament elections) as a case study. We introduce an inno- vative mixed-methods, sequential, quantitative-driven, multi-stage design com- bining surveys, qualitative interviews, and social media data, which effectively integrates qualitative and quantitative components to analyze the effect of social media influencers on political attitudes across generations. We present project design along with interaction and integration among components (methodologi- cal innovations include a “Swipe” module for respondents–influencers linkage and use of AI for classifying social media posts). We describe individual compo- nents (including first empirical results), an intermediate convergent assessment stage, and directions for data analysis.
Assessing public sphere influence on political attitudes across generations: a mixed-methods study of generational political structuring in Italy / L. De Sio, G. Legnante, D. Tuorto, C. Vezzoni, M. Boldrini, M. Bordignon, A. Colombo, A.D. Angelis, A. Leofreddi, N. Maggini, E. Mannoni, F. Marolla, N. Pennucci, A. Piacentini, F. Piacentini, L. Curini, J. Di Cocco, G. Pagano. - In: FRONTIERS IN POLITICAL SCIENCE. - ISSN 2673-3145. - 8:(2026 Mar 27), pp. 1-14. [10.3389/fpos.2026.1720542]
Assessing public sphere influence on political attitudes across generations: a mixed-methods study of generational political structuring in Italy
G. LegnanteSecondo
;C. Vezzoni;M. Bordignon;A.D. Angelis;N. Maggini;F. Marolla;A. Piacentini;F. Piacentini;L. Curini;G. PaganoUltimo
2026
Abstract
We present a project investigating the impact of social media on ideological structuring of political attitudes in a generational perspective, with Italy (around the 2024 European Parliament elections) as a case study. We introduce an inno- vative mixed-methods, sequential, quantitative-driven, multi-stage design com- bining surveys, qualitative interviews, and social media data, which effectively integrates qualitative and quantitative components to analyze the effect of social media influencers on political attitudes across generations. We present project design along with interaction and integration among components (methodologi- cal innovations include a “Swipe” module for respondents–influencers linkage and use of AI for classifying social media posts). We describe individual compo- nents (including first empirical results), an intermediate convergent assessment stage, and directions for data analysis.| File | Dimensione | Formato | |
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