Network analysis on political election; populist vs social emergent behaviour
Andrea Russo, Vincenzo Miracula, Antonio Picone

TL;DR
This study analyzes social media networks during the 2020 Emilia-Romagna elections to understand how cultural and political shifts induce emergent societal behaviors, revealing insights into populist and social reactions.
Contribution
It introduces a network analysis approach using word embeddings on Twitter data to explore societal reactions during a political event, highlighting emergent behaviors.
Findings
Identification of key words and topics associated with different societal groups
Revealed how group interactions reflect societal reactions to political shifts
Demonstrated the usefulness of network analysis in social media data for political insights
Abstract
Social networks play an important role in people's daily socialization, particularly through social media platforms, which have become key channels for communication and information dissemination. The digital ecosystem does not only evolve communication on multi-network (like TV, social media, and online newspapers) but also provides the social researcher with useful data to explain social-complex dynamics. Our work focus on cultural dynamics-reactions that occurred during the 2020 Emilia-Romagna elections'' in Italy, where a stronghold culture felt in danger of losing against the strong populism and Euro-scepticism present in digital ecosystems. We would like to show how the interaction between parts of the society, during cultural and/or political shifting, can lead to or induce emerging behaviour from society, creating groups that react against or improve the status quo. We developed…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Misinformation and Its Impacts · Complex Network Analysis Techniques
