Coronavirus, Ageism, and Twitter: An Evaluation of Tweets about Older Adults and COVID‐19
| Autor: | Maria Renee Jimenez-Sotomayor, Carolina Gómez-Moreno, Enrique Soto-Perez-de-Celis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Gerontology
Male medicine.medical_specialty Coronavirus disease 2019 (COVID-19) social media Pneumonia Viral World health Twitter messaging Ageism 03 medical and health sciences Betacoronavirus 0302 clinical medicine COVID‐19 Pandemic medicine Relevance (law) Humans Social media 030212 general & internal medicine Pandemics Aged Geriatrics Aged 80 and over geriatrics business.industry SARS-CoV-2 Mortality rate Brief Report Offensive COVID-19 Brief Reports Female Geriatrics and Gerontology business Coronavirus Infections 030217 neurology & neurosurgery |
| Zdroj: | Journal of the American Geriatrics Society |
| ISSN: | 1532-5415 0002-8614 |
| Popis: | Objectives In March 2020, the World Health Organization declared coronavirus disease 2019 (COVID-19) a pandemic. High morbidity and mortality rates of COVID-19 have been observed among older adults and widely reported in both mainstream and social media. The objective of this study was to analyze tweets related to COVID-19 and older adults, and to identify ageist content. Design We obtained a representative sample of original tweets containing the keywords "elderly," "older," and/or "boomer" plus the hashtags "#COVID19" and/or "#coronavirus." Setting Tweets posted between March 12 and March 21, 2020. Measurements We identified the type of user and number of followers for each account. Tweets were classified by three raters as (1) informative, (2) personal accounts, (3) personal opinions, (4) advice seeking, (5) jokes, and (6) miscellaneous. Potentially offensive content, as well as that downplaying the severity of COVID-19 because it mostly affects older adults, was identified. Results A total of 18,128 tweets were obtained, of which a random sample of 351 was analyzed. Most accounts (91.7%) belonged to individuals. The most common types of tweets were personal opinions (31.9%), followed by informative tweets (29.6%), jokes/ridicule (14.3%), and personal accounts (13.4%). Overall, 72 tweets (21.9%) likely intended to ridicule or offend someone and 21.1% had content implying that the life of older adults was less valuable or downplayed the relevance of COVID-19. Conclusion Most tweets related to COVID-19 and older adults contained personal opinions, personal accounts, and jokes. Almost one-quarter of analyzed tweets had ageist or potentially offensive content toward older adults. J Am Geriatr Soc 68:1661-1665, 2020. |
| Databáze: | OpenAIRE |
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