The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political Leaders
The aim of the article is to identify themes, actors and mood of the tweets shared by users in the period from March 25 to April 3, 2020 in Italy. It seems an extremely delicate and complex period, because it corresponds to the first phase of the lockdown, introduced following the Covid-19 pandemic....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Salerno
2020-06-01
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| Series: | Culture e Studi del Sociale |
| Subjects: | |
| Online Access: | http://www.cussoc.it/index.php/journal/article/view/134 |
| _version_ | 1818392592051601408 |
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| author | Francesca Greco Gevisa La Rocca |
| author_facet | Francesca Greco Gevisa La Rocca |
| author_sort | Francesca Greco |
| collection | DOAJ |
| description | The aim of the article is to identify themes, actors and mood of the tweets shared by users in the period from March 25 to April 3, 2020 in Italy. It seems an extremely delicate and complex period, because it corresponds to the first phase of the lockdown, introduced following the Covid-19 pandemic. It was a period characterized by emergency and crisis, with nuances related to fear and uncertainty. We assumed that this situation could have influenced and produced effects on the ideologically oriented digital language practice. Taking this background into consideration, we have scraped the messages containing the surnames of the Italian Premier and the one of the opposition leader from Twitter, in order to identify the debate connected to them and to the crisis. To achieve this goal, we performed a computational linguistic technique, Emotinal Text Mining. The first result reconstructs the landscape of the debate. Arising topics-scape drawn by: the leader, the players, the economy, the entertainment, the politic, the skill, and the guilt. Then, representations were identified and sentiments measured. |
| first_indexed | 2024-12-14T05:31:52Z |
| format | Article |
| id | doaj.art-e2efefa9ab7447bbb0f1d7f51832fdb8 |
| institution | Directory Open Access Journal |
| issn | 2531-3975 |
| language | English |
| last_indexed | 2024-12-14T05:31:52Z |
| publishDate | 2020-06-01 |
| publisher | University of Salerno |
| record_format | Article |
| series | Culture e Studi del Sociale |
| spelling | doaj.art-e2efefa9ab7447bbb0f1d7f51832fdb82022-12-21T23:15:19ZengUniversity of SalernoCulture e Studi del Sociale2531-39752020-06-0151 Special335346The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political LeadersFrancesca Greco0Gevisa La Rocca1Sapienza University of Rome, ItalyKore University of Enna, ItalyThe aim of the article is to identify themes, actors and mood of the tweets shared by users in the period from March 25 to April 3, 2020 in Italy. It seems an extremely delicate and complex period, because it corresponds to the first phase of the lockdown, introduced following the Covid-19 pandemic. It was a period characterized by emergency and crisis, with nuances related to fear and uncertainty. We assumed that this situation could have influenced and produced effects on the ideologically oriented digital language practice. Taking this background into consideration, we have scraped the messages containing the surnames of the Italian Premier and the one of the opposition leader from Twitter, in order to identify the debate connected to them and to the crisis. To achieve this goal, we performed a computational linguistic technique, Emotinal Text Mining. The first result reconstructs the landscape of the debate. Arising topics-scape drawn by: the leader, the players, the economy, the entertainment, the politic, the skill, and the guilt. Then, representations were identified and sentiments measured.http://www.cussoc.it/index.php/journal/article/view/134emotional text miningpolitical debatetwitter |
| spellingShingle | Francesca Greco Gevisa La Rocca The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political Leaders Culture e Studi del Sociale emotional text mining political debate |
| title | The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political Leaders |
| title_full | The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political Leaders |
| title_fullStr | The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political Leaders |
| title_full_unstemmed | The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political Leaders |
| title_short | The Topics-scape of the Pandemic Crisis: The Italian Sentiment on Political Leaders |
| title_sort | topics scape of the pandemic crisis the italian sentiment on political leaders |
| topic | emotional text mining political debate |
| url | http://www.cussoc.it/index.php/journal/article/view/134 |
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