Evidence map›Paper›PMID 32338787›Full record

ArticleJournal of the American Geriatrics Society2020

Coronavirus, Ageism, and Twitter: An Evaluation of Tweets about Older Adults and COVID-19.

Maria Renee Jimenez-Sotomayor, Carolina Gomez-Moreno, Enrique Soto-Perez-de-Celis

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 3 pooled it
21.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 3 syntheses or guidelines pooled it, 218 citations in OpenAlex.

  1. COVID-19-related misinformation on social media: a systematic review.Bulletin of the World Health Organization · 2021
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Thinking of future as an older individual increases perceived risks for age-related diseases but not for COVID-19.International journal of psychology : Journal international de psychologie · 2022
    Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Bidirectional Associations of Awareness of Age-Related Change and Attitudes Toward Own Aging With Social Media Use.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Maria Renee Jimenez-SotomayorSchool of Medicine, Universidad de Sonora, Hermosillo, Mexico.
Carolina Gomez-MorenoDepartment of Geriatrics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Enrique Soto-Perez-de-CelisDepartment of Emergency Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.ORCID 0000-0002-7301-2163
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXUniversidad de Sonora · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn 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.

designWe obtained a representative sample of original tweets containing the keywords "elderly," "older," and/or "boomer" plus the hashtags "#COVID19" and/or "#coronavirus."

settingTweets 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.

resultsA 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.

conclusionMost 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.

Indexed as

BetacoronavirusAgedAged, 80 and overAgeismCoronavirus InfectionsCOVID-19FemaleHumansMalePandemicsPneumonia, ViralSARS-CoV-2Social MediaageismCOVID-19geriatricssocial mediaTwitter messaging

Identifiers

PMID32338787
PMCPMC7267430
OpenAlexW3017421002

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.