2,446
Views
14
CrossRef citations to date
0
Altmetric
Articles

Does populism go viral? How Italian leaders engage citizens through social media

ORCID Icon, ORCID Icon & ORCID Icon
Pages 1477-1494 | Received 30 Sep 2019, Accepted 06 Jan 2021, Published online: 20 Jan 2021
 

ABSTRACT

This study explores populism in terms of communication while distinguishing between its ideological and stylistic dimensions. We examine the social media communication of the three main Italian political leaders during the last national electoral campaign to underline the differences and similarities in their use of populist communication in terms of ideology and style and assess how it affects Facebook and Twitter engagement. Our analysis shows that the three leaders all adopt populist communication styles but in slightly different ways. In all cases, populist style elements have a stronger impact on online engagement than populist ideology. The main difference between social media seems to be related less to the leaders’ communication elements than to their platform-specific audiences’ positive reactions to populist communication strategies.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available upon reasonable request from the corresponding author. The data are not publicly available due to social media TOS.

Notes

1 The Krippendorff α calculated for each variable coded by the two coders ranged from 0.68 to 0.82, considered highly satisfactory values according to field norms (Hayes & Krippendorff, Citation2007). Detailed information for each variable coded is provided in the supplementary material.

2 The differences in the use of those communication styles between messages that contained at least one populist ideological fragment and those that contained no populist ideology element are all significant at the .001 level.

3 shows only the significant predictors transformed according to the formula exp(b). The significance codes are as follows: “ ” = p < 0.1; * = p < 0.05; ** = p < 0.01; *** = p < 0.001. The full models can be found in the supplementary material.

Additional information

Funding

This work was supported by the Università di Pisa PRA (Athenaeum Research Project) under Grant Populismo in Italia: attori e processi in tempi di crisi (PRA_2018_10).

Notes on contributors

Roberta Bracciale

Roberta Bracciale, PhD, is an Associate Professor at the Department of Political Science, University of Pisa, Italy, where she teaches New Media Sociology. She is Director of the MediaLaB–Big Data in Social and Political Research Laboratory; a member of the PhD Board in ‘Data Science’ of Scuola Normale Superiore; and a Research Associate at the Institute of Informatics and Telematics (IIT) of the Italian National Research Council (CNR) of Pisa. Her current research interests focus on the social impact of digital media, with particular attention to the field of Political Communication and methodological perspectives related to social media studies. Email: roberta.bracciale@unipi.it

Massimiliano Andretta

Massimiliano Andretta, PhD, is an Associate Professor at the Department of Political Science of the University of Pisa, where he teaches Political Science, Political Communication, and Political Participation. His recent publications include ‘Protest in Italy in Times of Crisis: A Cross-Government Comparison’ (South European Society and Politics, 2018); with Donatella della Porta et al., Legacy and Memory in Movements: Justice and Democracy in Southern Europe (Oxford University Press, 2018); with Roberta Bracciale (eds.), Social Media Campaigning: Le elezioni regionali in #Toscana 15 (Pisa University Press, 2017); and with Lorella Sini (eds.), Populismi, nuove destre e nuovi partiti: quali discorsi politici in Europa (Pisa University Press, 2018). Email: massimiliano.andretta@unipi.it

Antonio Martella

Antonio Martella, PhD, is a post-doc research fellow at the Institute of Informatics and Telematics of CNR of Pisa. He is a member of the MediaLaB–Big Data in Social and Political Research Laboratory of the University of Pisa. He has earned a postgraduate master’s degree in Big Data & Social Mining at the Computer Science Department of the University of Pisa. His research interests focus on populism, leaders, and political communication on social media analyzed through big data and statistical methodologies. Email: antonio.martella@unitn.it. Twitter: @vot4ntonio

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 304.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.