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Examining Public Awareness of Ageist Terms on Twitter: Content Analysis
BACKGROUND: The World Health Organization, the Centers for Disease Control and Prevention, and the Gerontological Society of America have made efforts to raise awareness on ageist language and propose appropriate terms to denote the older adult population. The COVID-19 pandemic and older adults’ vul...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507520/ https://www.ncbi.nlm.nih.gov/pubmed/37698119 http://dx.doi.org/10.2196/41448 |
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author | Schramm, Emily Yang, Christopher C Chang, Chia-Hsuan Mulhorn, Kristine Yoshinaga, Shushi Huh-Yoo, Jina |
author_facet | Schramm, Emily Yang, Christopher C Chang, Chia-Hsuan Mulhorn, Kristine Yoshinaga, Shushi Huh-Yoo, Jina |
author_sort | Schramm, Emily |
collection | PubMed |
description | BACKGROUND: The World Health Organization, the Centers for Disease Control and Prevention, and the Gerontological Society of America have made efforts to raise awareness on ageist language and propose appropriate terms to denote the older adult population. The COVID-19 pandemic and older adults’ vulnerability to the disease have perpetuated hostile ageist discourse on social media. This is an opportune time to understand the prevalence and use of ageist language and discuss the ways forward. OBJECTIVE: This study aimed to understand the prevalence and situated use of ageist terms on Twitter. METHODS: We collected 60.32 million tweets between March and July 2020 containing terms related to COVID-19. We then conducted a mixed methods study comprising a content analysis and a descriptive quantitative analysis. RESULTS: A total of 58,930 tweets contained the ageist terms “old people” or “elderly.” The more appropriate term “older adult” was found in 11,328 tweets. Twitter users used ageist terms (eg, “old people” and “elderly”) to criticize ageist messages (17/60, 28%), showing a lack of understanding of appropriate terms to describe older adults. Highly hostile ageist content against older adults came from tweets that contained the derogatory terms “old people” (22/30, 73%) or “elderly” (13/30, 43%). CONCLUSIONS: The public discourse observed on Twitter shows a continued lack of understanding of appropriate terms to use when referring to older adults. Effort is needed to eliminate the perpetuation of ageist messages that challenge healthy aging. Our study highlights the need to inform the public about appropriate language use and ageism. |
format | Online Article Text |
id | pubmed-10507520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-105075202023-09-20 Examining Public Awareness of Ageist Terms on Twitter: Content Analysis Schramm, Emily Yang, Christopher C Chang, Chia-Hsuan Mulhorn, Kristine Yoshinaga, Shushi Huh-Yoo, Jina JMIR Aging Original Paper BACKGROUND: The World Health Organization, the Centers for Disease Control and Prevention, and the Gerontological Society of America have made efforts to raise awareness on ageist language and propose appropriate terms to denote the older adult population. The COVID-19 pandemic and older adults’ vulnerability to the disease have perpetuated hostile ageist discourse on social media. This is an opportune time to understand the prevalence and use of ageist language and discuss the ways forward. OBJECTIVE: This study aimed to understand the prevalence and situated use of ageist terms on Twitter. METHODS: We collected 60.32 million tweets between March and July 2020 containing terms related to COVID-19. We then conducted a mixed methods study comprising a content analysis and a descriptive quantitative analysis. RESULTS: A total of 58,930 tweets contained the ageist terms “old people” or “elderly.” The more appropriate term “older adult” was found in 11,328 tweets. Twitter users used ageist terms (eg, “old people” and “elderly”) to criticize ageist messages (17/60, 28%), showing a lack of understanding of appropriate terms to describe older adults. Highly hostile ageist content against older adults came from tweets that contained the derogatory terms “old people” (22/30, 73%) or “elderly” (13/30, 43%). CONCLUSIONS: The public discourse observed on Twitter shows a continued lack of understanding of appropriate terms to use when referring to older adults. Effort is needed to eliminate the perpetuation of ageist messages that challenge healthy aging. Our study highlights the need to inform the public about appropriate language use and ageism. JMIR Publications Inc 2023-09-11 /pmc/articles/PMC10507520/ /pubmed/37698119 http://dx.doi.org/10.2196/41448 Text en © Emily Schramm, Christopher C Yang, Chia-Hsuan Chang, Kristine Mulhorn, Shushi Yoshinaga, Jina Huh-Yoo. Originally published in JMIR Aging (https://aging.jmir.org), 11.9.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Schramm, Emily Yang, Christopher C Chang, Chia-Hsuan Mulhorn, Kristine Yoshinaga, Shushi Huh-Yoo, Jina Examining Public Awareness of Ageist Terms on Twitter: Content Analysis |
title | Examining Public Awareness of Ageist Terms on Twitter: Content Analysis |
title_full | Examining Public Awareness of Ageist Terms on Twitter: Content Analysis |
title_fullStr | Examining Public Awareness of Ageist Terms on Twitter: Content Analysis |
title_full_unstemmed | Examining Public Awareness of Ageist Terms on Twitter: Content Analysis |
title_short | Examining Public Awareness of Ageist Terms on Twitter: Content Analysis |
title_sort | examining public awareness of ageist terms on twitter: content analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507520/ https://www.ncbi.nlm.nih.gov/pubmed/37698119 http://dx.doi.org/10.2196/41448 |
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