Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19

<span class="abs_content">The article focuses on Italians' reactions to the pandemic on Twitter. During the first phase of the 2020 lockdown (from the beginning of March 2020 - to the beginning of May 2020), a real-time dataset was built, linking data scratching to three events...

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Autores principales:	Giovanni Boccia Artieri, Francesca Greco, Gevisa La Rocca
Formato:	article
Lenguaje:	EN
Publicado:	Coordinamento SIBA 2021
Materias:	coronavirus emotional text mining hashtag studies public debate twitter Political science (General) JA1-92
Acceso en línea:	https://doaj.org/article/00247badd99347d4824e3f64aa9add9c
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id	oai:doaj.org-article:00247badd99347d4824e3f64aa9add9c
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spelling	oai:doaj.org-article:00247badd99347d4824e3f64aa9add9c2021-11-21T15:11:42ZLockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-191972-76232035-660910.1285/i20356609v14i1p261https://doaj.org/article/00247badd99347d4824e3f64aa9add9c2021-06-01T00:00:00Zhttp://siba-ese.unisalento.it/index.php/paco/article/view/24025https://doaj.org/toc/1972-7623https://doaj.org/toc/2035-6609<span class="abs_content">The article focuses on Italians' reactions to the pandemic on Twitter. During the first phase of the 2020 lockdown (from the beginning of March 2020 - to the beginning of May 2020), a real-time dataset was built, linking data scratching to three events related to the introduction of the Prime Minister's decrees and his press conferences. The chosen observation point is Twitter, platform that allows us to monitor the emergence of discussions on public issues, extremely synchronized with events and news – which is, moreover, a feature of use of this platform. The coronavirus hashtag was chosen as a mechanism to track the development of Italian reactions, following the evolution of its sense and sensemaking and considering it as a polysemic collector. The aim is to identify within the tweets the actors, the topics, and the tone of the debate in an open public space. Furthermore, the analysis is carried out in search of the Italians' perception of the lockdown and whether they are in favor of it because of the defense of public health or they see it as a restriction of their individual freedom. The analysis, which used the socio-constructivist approach of Emotional Text Mining, reveals two explanatory-dimensions in the governance of the crisis: lockdown and breakdown and allows us to understand the reasons for Twitter's instinct-reactions.</span><br />Giovanni Boccia ArtieriFrancesca GrecoGevisa La RoccaCoordinamento SIBAarticlecoronavirusemotional text mininghashtag studiespublic debatetwitterPolitical science (General)JA1-92ENPartecipazione e Conflitto, Vol 14, Iss 1, Pp 261-282 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	coronavirus emotional text mining hashtag studies public debate twitter Political science (General) JA1-92
spellingShingle	coronavirus emotional text mining hashtag studies public debate twitter Political science (General) JA1-92 Giovanni Boccia Artieri Francesca Greco Gevisa La Rocca Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19
description	<span class="abs_content">The article focuses on Italians' reactions to the pandemic on Twitter. During the first phase of the 2020 lockdown (from the beginning of March 2020 - to the beginning of May 2020), a real-time dataset was built, linking data scratching to three events related to the introduction of the Prime Minister's decrees and his press conferences. The chosen observation point is Twitter, platform that allows us to monitor the emergence of discussions on public issues, extremely synchronized with events and news – which is, moreover, a feature of use of this platform. The coronavirus hashtag was chosen as a mechanism to track the development of Italian reactions, following the evolution of its sense and sensemaking and considering it as a polysemic collector. The aim is to identify within the tweets the actors, the topics, and the tone of the debate in an open public space. Furthermore, the analysis is carried out in search of the Italians' perception of the lockdown and whether they are in favor of it because of the defense of public health or they see it as a restriction of their individual freedom. The analysis, which used the socio-constructivist approach of Emotional Text Mining, reveals two explanatory-dimensions in the governance of the crisis: lockdown and breakdown and allows us to understand the reasons for Twitter's instinct-reactions.</span><br />
format	article
author	Giovanni Boccia Artieri Francesca Greco Gevisa La Rocca
author_facet	Giovanni Boccia Artieri Francesca Greco Gevisa La Rocca
author_sort	Giovanni Boccia Artieri
title	Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19
title_short	Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19
title_full	Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19
title_fullStr	Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19
title_full_unstemmed	Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19
title_sort	lockdown and breakdown in italians' reactions on twitter during the first phase of covid-19
publisher	Coordinamento SIBA
publishDate	2021
url	https://doaj.org/article/00247badd99347d4824e3f64aa9add9c
work_keys_str_mv	AT giovannibocciaartieri lockdownandbreakdowninitaliansreactionsontwitterduringthefirstphaseofcovid19 AT francescagreco lockdownandbreakdowninitaliansreactionsontwitterduringthefirstphaseofcovid19 AT gevisalarocca lockdownandbreakdowninitaliansreactionsontwitterduringthefirstphaseofcovid19
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Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19

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