Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.

The huge amount of data made available by the massive usage of social media has opened up the unprecedented possibility to carry out a data-driven study of political processes. While particular attention has been paid to phenomena like elite and mass polarization during online debates and echo-chamb...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tommaso Radicioni, Tiziano Squartini, Elena Pavan, Fabio Saracco
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4b18a05b73d34e0bad8ee697b767854e
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4b18a05b73d34e0bad8ee697b767854e
record_format	dspace
spelling	oai:doaj.org-article:4b18a05b73d34e0bad8ee697b767854e2021-12-02T20:19:27ZNetworked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.1932-620310.1371/journal.pone.0256705https://doaj.org/article/4b18a05b73d34e0bad8ee697b767854e2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256705https://doaj.org/toc/1932-6203The huge amount of data made available by the massive usage of social media has opened up the unprecedented possibility to carry out a data-driven study of political processes. While particular attention has been paid to phenomena like elite and mass polarization during online debates and echo-chambers formation, the interplay between online partisanship and framing practices, jointly sustaining adversarial dynamics, still remains overlooked. With the present paper, we carry out a socio-semantic analysis of the debate about migration policies observed on the Italian Twittersphere, across the period May-November 2019. As regards the social analysis, our methodology allows us to extract relevant information about the political orientation of the communities of users-hereby called partisan communities-without resorting upon any external information. Remarkably, our community detection technique is sensitive enough to clearly highlight the dynamics characterizing the relationship among different political forces. As regards the semantic analysis, our networks of hashtags display a mesoscale structure organized in a core-periphery fashion, across the entire observation period. Taken altogether, our results point at different, yet overlapping, trajectories of conflict played out using migration issues as a backdrop. A first line opposes communities discussing substantively of migration to communities approaching this issue just to fuel hostility against political opponents; within the second line, a mechanism of distancing between partisan communities reflects shifting political alliances within the governmental coalition. Ultimately, our results contribute to shed light on the complexity of the Italian political context characterized by multiple poles of partisan alignment.Tommaso RadicioniTiziano SquartiniElena PavanFabio SaraccoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256705 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tommaso Radicioni Tiziano Squartini Elena Pavan Fabio Saracco Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.
description	The huge amount of data made available by the massive usage of social media has opened up the unprecedented possibility to carry out a data-driven study of political processes. While particular attention has been paid to phenomena like elite and mass polarization during online debates and echo-chambers formation, the interplay between online partisanship and framing practices, jointly sustaining adversarial dynamics, still remains overlooked. With the present paper, we carry out a socio-semantic analysis of the debate about migration policies observed on the Italian Twittersphere, across the period May-November 2019. As regards the social analysis, our methodology allows us to extract relevant information about the political orientation of the communities of users-hereby called partisan communities-without resorting upon any external information. Remarkably, our community detection technique is sensitive enough to clearly highlight the dynamics characterizing the relationship among different political forces. As regards the semantic analysis, our networks of hashtags display a mesoscale structure organized in a core-periphery fashion, across the entire observation period. Taken altogether, our results point at different, yet overlapping, trajectories of conflict played out using migration issues as a backdrop. A first line opposes communities discussing substantively of migration to communities approaching this issue just to fuel hostility against political opponents; within the second line, a mechanism of distancing between partisan communities reflects shifting political alliances within the governmental coalition. Ultimately, our results contribute to shed light on the complexity of the Italian political context characterized by multiple poles of partisan alignment.
format	article
author	Tommaso Radicioni Tiziano Squartini Elena Pavan Fabio Saracco
author_facet	Tommaso Radicioni Tiziano Squartini Elena Pavan Fabio Saracco
author_sort	Tommaso Radicioni
title	Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.
title_short	Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.
title_full	Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.
title_fullStr	Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.
title_full_unstemmed	Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.
title_sort	networked partisanship and framing: a socio-semantic network analysis of the italian debate on migration.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/4b18a05b73d34e0bad8ee697b767854e
work_keys_str_mv	AT tommasoradicioni networkedpartisanshipandframingasociosemanticnetworkanalysisoftheitaliandebateonmigration AT tizianosquartini networkedpartisanshipandframingasociosemanticnetworkanalysisoftheitaliandebateonmigration AT elenapavan networkedpartisanshipandframingasociosemanticnetworkanalysisoftheitaliandebateonmigration AT fabiosaracco networkedpartisanshipandframingasociosemanticnetworkanalysisoftheitaliandebateonmigration
_version_	1718374163507314688

Networked partisanship and framing: A socio-semantic network analysis of the Italian debate on migration.

Ejemplares similares