Suchergebnisse

L'articolo ha ad oggetto l'ampliamento dei poteri speciali del Governo in materia di aziende strategiche (c.d. Golden Power), previsto dalle disposizioni introdotte dal d.l. 8 aprile 2020 n. 23, nell'ambito della produzione normativa legata all'emergenza Covid-19. Nel procedere ad una un'analisi del testo, il lavoro si interroga sul rapporto fra la nuova disciplina e le esigenze poste dalla pandemia, e con il più generale "spirito del tempo" in tema di protezione dei sistemi economici nazionali. ; The article refers to the enlargement of governmental special powers regarding strategic business entities (so called Golden Power), according to the new rules issued by decree 8 April 2020 n. 23, within the legislation related to the Covid-19 emergency. By analysing the recent discipline, the essay investigates the relationship among the new regulation and issues arising from the pandemic, and/or, more in general, the "Zeitgeist" in fact of protection of national economies.

Raccolta di dati da Twitter e analisi di questi. Nell'elaborato vengono anche comparate le politiche sulla riservatezza dei dati Tra Twitter e Facebook per spiegare come mai sia stato scelto il primo come fonte di informazione.

In August 2019, when Matteo Salvini asked to return to the ballot box, the Italian government entered into crisis. This generated a large debate that also took place on social media – particularly on Twitter, which has now become increasingly important as a place for political debate. This study presents the analysis of the Twitter discourse related to government crisis, in the period following the resignation of the Prime Minister. Text mining and social network analysis techniques have been integrated to study the positioning of political leaders and the topics of major interest. In particular, we used the Emotional Text Mining (ETM) and Semantic Brand Score (SBS) techniques. The SBS served as an indicator of the most relevant topics in the discourse. It was used to determine the importance of the themes emerging from the EMT. This importance was measured along the three dimensions of prevalence, diversity, and connectivity – considering textual association patterns and cooccurrence networks. The integration of the two procedures allowed to describe the public perception of the crisis and to identify the symbolic-cultural matrix and the sentiment related to each discourse topic.