Fratelli di massimo giletti biography
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2022 Italian presidential election
Election of the president of the Italian Republic
The 2022 Italian presidential election was held in Rome between 24 and 29 January 2022. The president of Italy was elected by a joint assembly composed of the Italian Parliament and regional representatives.[6] The election process extended over multiple days,[7][8][9] culminating in incumbent president Sergio Mattarella being confirmed for a second term,[10][11][12] with a total of 759 votes on the eighth ballot.[13] This was the second most votes (after Sandro Pertini in 1978) ever received by a presidential candidate.[14] Mattarella became the second president to be re-elected, his predecessor Giorgio Napolitano being the first.[15][16][17]
Mattarella had initially ruled out a second term.[18][19] On 29 January, he agreed to serve a second term,[20] as most party leaders and Mario Draghi, the prime minister of Italy, asked him to accept their joint nomination for another term.[21][22][23] Mattarella had previously already received significant and growing support in several rounds of voting, namely 125 votes
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Abstract
The year 2020 opened with a dramatic epidemic caused by a new species of coronavirus that soon has been declared a pandemic by the WHO due to the high number of deaths and the critical mass of worldwide hospitalized patients, of order of millions. The COVID-19 pandemic has forced the governments of hundreds of countries to apply several heavy restrictions in the citizens’ socio-economic life. Italy was one of the most affected countries with long-term restrictions, impacting the socio-economic tissue. During this lockdown period, people got informed mostly on Online Social Media, where a heated debate followed all main ongoing events. In this scenario, the following study presents an in-depth analysis of the main emergent topics discussed during the lockdown phase within the Italian Twitter community. The analysis has been conducted through a general purpose methodological framework, grounded on a biological metaphor and on a chain of NLP and graph analysis techniques, in charge of detecting and tracking emerging topics in Online Social Media, e.g. streams of Twitter data. A term-frequency analysis in subsequent time slots is pipelined with nutrition and energy metrics for computing hot terms by also exploiting the tweets quality information, such as the social influ
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