Mapping Italian News Media Political Coverage in the Lead-Up of 2018 General Election

99 Pages Posted: 31 May 2018  

Fabio Giglietto

University of Urbino Carlo Bo

Laura Iannelli

Università degli Studi di Sassari

Luca Rossi

IT University of Copenhagen

Augusto Valeriani

Università di Bologna

Nicola Righetti

University of Urbino

Francesca Carabini

University of Urbino

Giada Marino

University of Urbino

Stefano Usai

University of Urbino

Elisabetta Zurovac

Università degli Studi di Sassari

Date Written: May 17, 2018

Abstract

This study presents an analysis of the online media coverage in the run up of 2018 Italian General election. We illustrate how immigration, corruption and privileges of the elite – also related to a certain rhetoric on the inability of the state to protect the rights of the needy – were in fact the most salient topics throughout the months before and during the election. Both topics were largely central in both Salvini’s League and Di Maio’s Five Stars Movement agenda. Nevertheless, the leaders most frequently cited in online news articles were Matteo Renzi (PD) and Silvio Berlusconi (Forza Italia). By deep diving into the contents of main leaders media coverage and respective social media engagement we document the centrality of stories unravelling around leaders’ legal issues, alleged collusion and scandals.

While the media clusters emerging from the network analysis clearly resembles the tripartite structure of the contemporary Italian politics articulated in centre-left, centre-right and Five Stars Movement, the different weight and articulation within each cluster clearly describe the strengths of M5S and centre-right (largely dominated by the League) and the weakness of the centre-left.

While our analysis depicted a clear profile of the actors and topics that catalyzed the highest social media interactions and thus attention, we also illustrate a number of strategies employed by different communities to amplify the reach of contents aligned with own worldview while reframing negative coverage through comments. Overall, explicitly partisan and hyper-partisan sources catalyzed a significant share of the social media interactions performed by the online audience in the lead up of the election.

The analysis includes the evaluation and mapping of the Italian media landscape from several perspectives and is based on large-scale data collection of online news articles published on the web, shared and interacted on Facebook and Twitter.

Keywords: political campaign, election, media, partisanship, media manipulation

Suggested Citation

Giglietto, Fabio and Iannelli, Laura and Rossi, Luca and Valeriani, Augusto and Righetti, Nicola and Carabini, Francesca and Marino, Giada and Usai, Stefano and Zurovac, Elisabetta, Mapping Italian News Media Political Coverage in the Lead-Up of 2018 General Election (May 17, 2018). Available at SSRN: https://ssrn.com/abstract=3179930 or http://dx.doi.org/10.2139/ssrn.3179930

Fabio Giglietto (Contact Author)

University of Urbino Carlo Bo ( email )

Via Saffi 15
Urbino, Pesaro-Urbino 61029
Italy
+390722305726 (Phone)
+390722305727 (Fax)

HOME PAGE: http://www.uniurb.it

Laura Iannelli

Università degli Studi di Sassari ( email )

Piazza Universita
Sassari, 07100
Italy

Luca Rossi

IT University of Copenhagen ( email )

Denmark

Augusto Valeriani

Università di Bologna ( email )

Via Zamboni, 33
Bologna, 40126
Italy

HOME PAGE: http://https://www.unibo.it/sitoweb/augusto.valeriani/en

Nicola Righetti

University of Urbino ( email )

Via Saffi 2
Urbino, Pesaro-Urbino 61029
Italy

Francesca Carabini

University of Urbino ( email )

Via Saffi 2
Urbino, Pesaro-Urbino 61029
Italy

Giada Marino

University of Urbino ( email )

Via Saffi 2
Urbino, Pesaro-Urbino 61029
Italy

Stefano Usai

University of Urbino ( email )

Via Saffi 2
Urbino, Pesaro-Urbino 61029
Italy

Elisabetta Zurovac

Università degli Studi di Sassari ( email )

Piazza Universita
Sassari, 07100
Italy

Register to save articles to
your library

Register

Paper statistics

Downloads
55
rank
347,688
Abstract Views
431
PlumX