| Literature DB >> 33806901 |
Sheldon Solomon1, Daniele Rostellato2, Ines Testoni2, Fiorella Calabrese3, Guido Biasco4.
Abstract
Exactly one year ago, between February and March 2020, the COVID-19 infection went from an epidemic confined to China to a worldwide pandemic that was particularly lethal in Italy. This study examined the media accounts during that period by analysing the representation of death-related constructs in Corriere della Sera, the most widely read newspaper in Italy. A textual and thematic analysis of articles published between period A (epidemic: 23 January-22 February 2020) and period B (pandemic: 23 February-31 March 2020) was conducted using Nvivo-11. A total of 141 articles comprising 48,524 words were collected. The most utilised words and meanings linked to COVID-19 were computed. In the rank distribution, 'China' and 'virus' were the terms most frequently used in both periods. The terms 'death' and 'dead' were completely absent in period A and appeared in the 535th position in period B. The term 'dead' was used primarily to indicate the number of deceased. From a Terror Management Theory perspective, it is possible that the minimal reference to death-related issues was a reflection of death denial and a manifestation of efforts to deny death to manage terror. These findings highlight the ambiguities and ambivalence surrounding any issue pertaining to death; on the one side, undue alarmism may provoke exaggerated reactions, such as moral panic, while on the other denial-based messages that minimise references to mortality may reduce safe behaviour during a pandemic.Entities:
Keywords: COVID-19 outbreak; Corriere della Sera; denial of death; moral panic; pandemic; terror management theory
Year: 2021 PMID: 33806901 PMCID: PMC8004840 DOI: 10.3390/bs11030041
Source DB: PubMed Journal: Behav Sci (Basel) ISSN: 2076-328X
Frequencies of the first 25 words in the two periods.
| Period A | Period B | |||||
|---|---|---|---|---|---|---|
| Word | Frequency | % |
| Word | Frequency | % |
| China | 204 | 1.146 | 1 | Politics | 388 | 0.586 |
| coronavirus | 162 | 0.91 | 2 | virus | 347 | 0.524 |
| Wuhan | 104 | 0.584 | 3 | Northern Italy | 283 | 0.428 |
| Beijing | 74 | 0.416 | 4 | cases | 243 | 0.367 |
| infection | 71 | 0.399 | 5 | days | 240 | 0.363 |
| flight | 53 | 0.298 | 6 | infection | 214 | 0.323 |
| cases | 50 | 0.281 | 7 | Country | 176 | 0.266 |
| city | 41 | 0.23 | 8 | doctor | 161 | 0.243 |
| people | 41 | 0.23 | 9 | everybody | 144 | 0.218 |
| health | 41 | 0.23 | 10 | region | 138 | 0.208 |
| days | 37 | 0.208 | 11 | before | 137 | 0.207 |
| state | 37 | 0.208 | 12 | medical devices | 125 | 0.189 |
| States | 36 | 0.202 | 13 | Hospital | 114 | 0.172 |
| first | 34 | 0.191 | 14 | dead | 113 | 0.171 |
| sars | 32 | 0.18 | 15 | government | 110 | 0.166 |
| Now | 31 | 0.174 | 16 | people | 109 | 0.165 |
| doctor | 31 | 0.174 | 17 | measures | 107 | 0.162 |
| world | 29 | 0.163 | 18 | others | 102 | 0.154 |
| all | 29 | 0.163 | 19 | Italy | 101 | 0.153 |
| great | 28 | 0.157 | 20 | years | 91 | 0.137 |
| millions | 27 | 0.152 | 21 | home | 91 | 0.137 |
| before | 27 | 0.152 | 22 | today | 83 | 0.125 |
| quarantine | 27 | 0.152 | 23 | patients | 80 | 0.121 |
| Rome | 26 | 0.146 | 24 | president | 79 | 0.119 |
| situation | 26 | 0.146 | 25 | protection | 78 | 0.118 |
| man | 26 | 0.146 | 26 | situation | 77 | 0.116 |
| New Year | 24 | 0.135 | 27 | Rome | 75 | 0.113 |
| where | 23 | 0.129 | 28 | very | 72 | 0.109 |
| authority | 22 | 0.124 | 29 | Now | 71 | 0.107 |
| fear | 22 | 0.124 | 30 | number | 70 | 0.106 |
| case | 21 | 0.118 | 31 | moment | 69 | 0.104 |
| control | 21 | 0.118 | 32 | without | 69 | 0.104 |
| new | 21 | 0.118 | 33 | infected | 67 | 0.101 |
| mask | 21 | 0.118 | 34 | health | 65 | 0.098 |
| home | 20 | 0.112 | 35 | quarantine | 65 | 0.098 |
| people | 20 | 0.112 | 36 | first | 64 | 0.097 |
| Italian | 20 | 0.112 | 37 | civil | 62 | 0.094 |
| party | 20 | 0.112 | 38 | they | 62 | 0.094 |
| all | 20 | 0.112 | 39 | March | 61 | 0.092 |
| others | 19 | 0.107 | 40 | over | 59 | 0.089 |
| Hubei | 19 | 0.107 | 41 | risk | 58 | 0.088 |
| always | 19 | 0.107 | 42 | billion | 56 | 0.085 |
| symptoms | 19 | 0.107 | 43 | time | 56 | 0.085 |
| dead | 18 | 0.101 | 44 | health | 55 | 0.083 |
| tourists | 18 | 0.101 | 45 | case | 54 | 0.082 |
| minister | 17 | 0.095 | 46 | intensive | 53 | 0.08 |
| moment | 17 | 0.095 | 47 | week | 52 | 0.079 |
| today | 17 | 0.095 | 48 | therapy | 51 | 0.077 |
| weeks | 17 | 0.095 | 49 | battle | 51 | 0.077 |
| … | - | - | - | … | - | - |
| death | 0 | 0 | 535 | death | 11 | 0.017 |
Figure 1Word cloud, Periods A and B: ‘Stay home: politics saves you from the virus’.