Media framing of epidemics was found to influence public perceptions and behaviors in experiments, yet no research has been conducted on real-world behaviors during public health crises. We examined the relationship between Italian news media coverage of COVID-19 and compliance with stay-at-home orders, which could impact the spread of epidemics. We used a computational method for framing analysis (ANTMN) and combined it with Google's Community Mobility data. A time-series analysis using vector autoregressive models showed that the Italian media used media frames that were largely congruent with ones used by journalists in other countries: A scientific frame focusing on symptoms and health effects, a containment frame focusing on attempts to ameliorate risks, and a social frame, focusing on political and social impact. The prominence of different media frames over time was associated with changes in Italians' mobility patterns. Specifically, we found that the social frame was associated with increased mobility, whereas the containment frame was associated with decreased mobility. The results demonstrate that the ways the news media discuss epidemics can influence changes in community mobility, above and beyond the effect of the number of deaths per day.

The Framing of COVID-19 in Italian Media and Its Relationship with Community Mobility: A Mixed-Method Approach / Ophir, Yotam; Walter, Dror; Arnon, Daniel; Lokmanoglu, Ayse; Tizzoni, Michele; Carota, Joëlle; D'Antiga, Lorenzo; Nicastro, Emanuele. - In: JOURNAL OF HEALTH COMMUNICATION. - ISSN 1081-0730. - 26:3(2021), pp. 161-173. [10.1080/10810730.2021.1899344]

The Framing of COVID-19 in Italian Media and Its Relationship with Community Mobility: A Mixed-Method Approach

Tizzoni, Michele;
2021-01-01

Abstract

Media framing of epidemics was found to influence public perceptions and behaviors in experiments, yet no research has been conducted on real-world behaviors during public health crises. We examined the relationship between Italian news media coverage of COVID-19 and compliance with stay-at-home orders, which could impact the spread of epidemics. We used a computational method for framing analysis (ANTMN) and combined it with Google's Community Mobility data. A time-series analysis using vector autoregressive models showed that the Italian media used media frames that were largely congruent with ones used by journalists in other countries: A scientific frame focusing on symptoms and health effects, a containment frame focusing on attempts to ameliorate risks, and a social frame, focusing on political and social impact. The prominence of different media frames over time was associated with changes in Italians' mobility patterns. Specifically, we found that the social frame was associated with increased mobility, whereas the containment frame was associated with decreased mobility. The results demonstrate that the ways the news media discuss epidemics can influence changes in community mobility, above and beyond the effect of the number of deaths per day.
2021
3
Ophir, Yotam; Walter, Dror; Arnon, Daniel; Lokmanoglu, Ayse; Tizzoni, Michele; Carota, Joëlle; D'Antiga, Lorenzo; Nicastro, Emanuele
The Framing of COVID-19 in Italian Media and Its Relationship with Community Mobility: A Mixed-Method Approach / Ophir, Yotam; Walter, Dror; Arnon, Daniel; Lokmanoglu, Ayse; Tizzoni, Michele; Carota, Joëlle; D'Antiga, Lorenzo; Nicastro, Emanuele. - In: JOURNAL OF HEALTH COMMUNICATION. - ISSN 1081-0730. - 26:3(2021), pp. 161-173. [10.1080/10810730.2021.1899344]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/364334
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