The volume of the Italian online political discourse on social media has recently increased, but the coverage level does not compare with other Countries such as the US. Nonetheless, researchers focused on studying polarization and homophily with respect to political debates or investigating the role of populism in online engagement. In this research landscape, the analysis of political preference shifts through social media remains to be explored. We aim to bridge this gap by examining the Twitter discourse during the 2022 Italian general elections, with a specific emphasis on political "swingers". In particular, our findings indicate a stable political discourse in Italy, yet they also uncover a growing presence of political swingers willing to shift their support to significantly different factions.

Finding Hidden Swingers in the 2022 Italian Elections Twitter Discourse

Alessia Antelmi
;
2023-01-01

Abstract

The volume of the Italian online political discourse on social media has recently increased, but the coverage level does not compare with other Countries such as the US. Nonetheless, researchers focused on studying polarization and homophily with respect to political debates or investigating the role of populism in online engagement. In this research landscape, the analysis of political preference shifts through social media remains to be explored. We aim to bridge this gap by examining the Twitter discourse during the 2022 Italian general elections, with a specific emphasis on political "swingers". In particular, our findings indicate a stable political discourse in Italy, yet they also uncover a growing presence of political swingers willing to shift their support to significantly different factions.
2023
COMPLEX NETWORKS 2023- The 12th International Conference on Complex Networks and their Applications
Menton, Francia
28 - 30 November, 2023
The 12th International Conference on Complex Networks and their Applications - Book of Abstracts
Springer International Publishing
1
4
https://drive.google.com/file/d/1OLVhjqTkhKVTjQKLwkc4T2ZntJLC5Rrb/view
network science, Italian elections, community detection
Alessia Antelmi, Lucio La Cava, Arianna Pera
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1949354
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