Analyzing Communication Broadcasting in the Digital Space

Giuffrida, Giovanni; Rinaldi, Francesco Mazzeo; Russo, Andrea

doi:10.1007/978-3-030-95470-3_39

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…The event became a very important one, not only because of the amount of activity in social networks [12] [13], but also for the political and cultural left-wing political party [11], because, as shown in figure 2, since the election of 2005 the right-wing party has continuously reduced the distance between both. So, if the left party lost, the election would certificate not only the leadership of Matteo Salvini as the leader with the most agreement throughout Italy, but also in the regional institutions of Emilia Romagna (which have always dealt with left-wing culture) and also in national institutions.…”

Section: Resultsmentioning

confidence: 99%

Network analysis on political election: populist vs social emergent behaviour

Russo,

Miracula,

Picone

2024

Preprint

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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 focuses 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 society, during cultural and/or political shifting, can lead to or induce emerging behavior from society, creating groups that react against or improve the status quo. We developed a word-entry network based on three different levels of participation: pro, con, and neutral. We have analyzed the tweets collected (as text) with the word embedding tools, to see, the most used words (which may suggest the main topics) and the most related words among the various groups. We show how a careful analysis of groups through networks, can give important information about the current event.

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Section: Resultsmentioning

confidence: 99%

Network analysis on political election: populist vs social emergent behaviour

Russo,

Miracula,

Picone

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The event became a very important one, both by the amount of activity in social networks [12] [13], but also for the political and cultural left-wing political party [11],…”

Section: Resultsmentioning

confidence: 99%

Network analysis on political election; populist vs social emergent behaviour

Russo¹,

Miracula²,

Picone³

2023

Preprint

View full text Add to dashboard Cite

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 dynamicsreactions 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 a word-entry network based on three different levels of participation: pro, con, and neutral. We have analyzed the tweets collected (as text) with the word embedding tools, to see, the most used words (which may suggest the main topics) and the most related words among the various groups. We show how a careful analysis of groups through networks, can give important information about the current event.

show abstract

Analyzing Communication Broadcasting in the Digital Space

Cited by 2 publications

References 16 publications

Network analysis on political election: populist vs social emergent behaviour

Network analysis on political election: populist vs social emergent behaviour

Network analysis on political election; populist vs social emergent behaviour

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