The article analyses the mechanisms used by journalists to define and classify environmental disasters and weather alerts in Sardinia and Sicily, using the sociocultural profiling method of Emotional Text Mining applied to 166 articles covering a period of 24 months, from January 2022 to December 2023. The article adopts a socio-communicative perspective, using the Social Amplification of Risk Frame- work and the agenda-setting in order to answer two research questions. The first aims to map the media representation of environmental disasters and identify common and/or divergent traits in the communication strategies adopted by the newspapers for the two islands. The second aims to pull out journalistic watchdog action on a critical issue such as risk and environmental disasters in the two islands.
La copertura mediale dei rischi e delle emergenze ambientali in Sicilia e Sardegna. Un’analisi mediante l’Emotional Text Mining
Lovari, Alessandro;
2025-01-01
Abstract
The article analyses the mechanisms used by journalists to define and classify environmental disasters and weather alerts in Sardinia and Sicily, using the sociocultural profiling method of Emotional Text Mining applied to 166 articles covering a period of 24 months, from January 2022 to December 2023. The article adopts a socio-communicative perspective, using the Social Amplification of Risk Frame- work and the agenda-setting in order to answer two research questions. The first aims to map the media representation of environmental disasters and identify common and/or divergent traits in the communication strategies adopted by the newspapers for the two islands. The second aims to pull out journalistic watchdog action on a critical issue such as risk and environmental disasters in the two islands.| File | Dimensione | Formato | |
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