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Il CssC si occupa dei temi contemporanei più rilevanti. Il conflitto armato tra Russia e Ucraina è stato uno dei nostri punti focali. Visitate la nostra pagina per avere un sommario delle nostre ricerche e analisi dei dati sulla guerra tra Russia e Ucraina.
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Owing to their popularity, sports often turn into arenas for political contestation. The practice of taking the knee as a symbolic stance against racism was started in 2016 and is entrenched with the Black Lives Matter (BLM) movement. This practice generated discussions in the Italian public opinion during Euro 2020, where the ambiguous stance of the Italian soccer team contributed to the debate. This article addresses this particular case as an example of more widespread practices of antiracist contestation (and public opinion reactions thereto) in sports, approaching Italian public opinion studies from the underexplored angle of computational social science. We collected tweets featuring the hashtag #iononmiinginocchio (and its variations) throughout the duration of Euro 2020. The language used was analysed through network analysis and toxicity analysis to observe the characteristics of the debate and the rhetoric employed. This research finds that, despite politicians’ media visibility throughout the debate, the Twitter discussion was mainly driven by common citizens. In this context, a toxic language encompassing white supremacist, homophobic, and sexist remarks was often employed with a silencing effect on a wide share of the Twitter usership.
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Un fantastico gruppo di partecipanti, assistenti, insegnanti e key-speaker per la edizione del 2022 di #SicssBologna
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Pubblicato il 4 Novembre 2021
Il Dipartimento di Scienze Politiche e Sociali dell'Università di Bologna è l'istitutizione ospitante del "Summer Institutes in Computational Social Sciences". I membri del CssC coorganizano l'evento. SICSS-Bologna 21 Giugno - 2 Luglio, 2021 | Università di Bologna
Human data Computational social science is a burgeoning field of research that uses analysis of huge data sets to tackle social questions. Digital devices now give real-time access to a wealth of information on our movements, purchases and social interactions online — information that offers unprecedented power to track trends, make predictions and inform decisions. In a special issue this week, Nature probes the possibilities of — and challenges faced by — this growing field. From modelling the dynamics of infectious disease to assessing potential bias in data sets, researchers face huge opportunities to answer key societal questions — as long as they can also maintain the delicate balance of ensuring the quality and privacy of the data being used.
