'Spotto la quarantena': per una analisi dell’italiano scritto degli studenti universitari via social network in tempo di COVID-19
| Autor: | Johanna Monti, Francesca Chiusaroli, Maria Laura Pierucci, Gennaro Nolano |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19) social media Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) AriEmozione scrittura dei giovani Context (language use) Settore L-LIN/01 - Glottologia e Linguistica Online Hate Speech Spotted-ITA Corpus COVID-19 Spotted CBX Informal communication Multilingual NLU Sociology Spotted Linguistica dei media scritture digitali social media scrittura dei giovani Twitter during Pandemic scritture digitali Automatic Sarcasm Detection Linguistic Ostracism in Social Networks Italian language Media studies COVID-19 Linguistics LAN000000 Quantitative Linguistic Investigations Fine-grained sentiment analysis Linguistica dei media Computational Linguistics DistilBERT Depression from Social Media Distributional Semantics Gender Bias AEREST E3C Project TrAVaSI Spotted-ITA Corpus Period (music) |
| Zdroj: | Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020 ISBN: 9791280136336 |
| DOI: | 10.4000/books.aaccademia.8365 |
| Popis: | Per un’analisi dell’italiano scritto degli studenti universitari, un contesto privilegiato si trova in quei canali social di condivisione tra pari noti con la titolatura di “Spotted”. Attivi particolarmente su Instagram, si tratta di canali di interazione pubblica informale che forniscono elementi significativi all’indagine sulle scritture spontanee dei giovani in rete. Questa ricerca presenta un corpus di oltre trentamila testi da Spotted universitari italiani. Concentrandoci sulle fasi COVID (e sul periodo immediatamente precedente), intendiamo illustrare come il corpus Spotted-Ita appaia funzionale a un’indagine riferita alla comunicazione linguistica nell’occasione di un’esperienza unica e straordinaria vissuta dagli studenti universitari. “Spotted" posts represent one of the most popular forms of Computer-mediated Communication (CMC) among university students in Italy, and as such, they represent a privileged context to analyze the Italian language used by students on the Web. This kind of informal communication channels is active especially on Instagram, and provides relevant insights on the spontaneous writing of young people. Based on Spotted-ITA Corpus, a corpus of over 30,000 posts retrieved from Italian Spotted accounts on Instagram, this paper presents a focus on the period of lockdown in Italy due to COVID pandemics and its immediately preceding period, showing how this corpus can be useful in analyzing the way Italian university students communicated during this unique and extraordinary experience. |
| Databáze: | OpenAIRE |
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