社交媒体上关于年龄歧视、性别歧视和种族主义的讨论:对 15 年间 1.5 亿条推文的分析。

IF 4.3 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Reuben Ng PhD, Nicole Indran BSocSci (Hons), Luyao Liu MSc
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引用次数: 0

摘要

背景:老龄歧视是影响健康的一个主要社会决定因素,但却常常被忽视。事实上,学者们普遍认为,年龄歧视是最不被承认的不平等形式之一,但很少有人尝试通过实证研究来证实这一说法。这是第一项对推特上有关年龄歧视、性别歧视和种族主义的言论数量进行量化的研究。具体来说,我们以标签的使用量来代表 2007 年至 2022 年这 15 年间围绕每种不平等形式的讨论频率。方法:我们从过去的学术研究中提取了与种族主义和性别歧视相关的标签。我们还采用了 "滚雪球 "取样法,即使用 Twitter 的搜索功能查询标签,以确定其他标签。由于对年龄歧视相关标签的研究有限,我们查询了倡导团体使用的标签,并采用滚雪球式抽样方法收集了其他相关标签。收集到的推文(N = 154,353,047 条)时间跨度为 15 年,从 2007 年 8 月 23 日至 2022 年 12 月 31 日:从 2007 年到 2022 年,与种族主义相关的标签使用最多,其次是与性别歧视相关的标签和与年龄歧视相关的标签。与种族主义相关的标签(N = 99,250,348 个)比与年龄歧视相关的标签(N = 1,648,926 个)多出约 60 倍。与性别歧视相关的标签(N=38,933,113)比与年龄歧视相关的标签多 24 倍。与年龄歧视相关的推文呈线性增长趋势(p 结论):有必要加快提高对老龄歧视的认识。为确保有关老龄歧视的讨论不局限于学术界和政策界,可开展宣传活动,让公众了解这一问题及其负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Social media discourse on ageism, sexism, and racism: Analysis of 150 million tweets over 15 years

Social media discourse on ageism, sexism, and racism: Analysis of 150 million tweets over 15 years

Background

Ageism is a major but oft-overlooked social determinant of health. In fact, it is widely accepted among scholars that ageism is one of the least acknowledged forms of inequality, although few empirical attempts have been made to substantiate this claim. This is the first study that quantifies the amount of discourse dedicated to ageism, sexism, and racism on Twitter. Specifically, we rely on the usage of hashtags as a proxy for the frequency of discussions surrounding each form of inequality over a 15-year period from 2007 to 2022. We also identify key events that triggered spikes in Twitter activity for each form of inequality.

Methods

Hashtags related to racism and sexism were extracted from past scholarship. We also employed a snowball sampling method whereby we queried the hashtags using Twitter's search function to identify other hashtags. As limited research has been conducted on ageism-related hashtags, we queried hashtags utilized by advocacy groups and adopted a snowball sampling method to compile other relevant hashtags. Tweets collected (N = 154,353,047) spanned 15 years, from August 23, 2007 to December 31, 2022.

Results

From 2007 to 2022, racism-related hashtags were used the most, followed by sexism-related hashtags and ageism-related hashtags. Racism-related hashtags (N = 99,250,348) were mentioned about 60 times more than ageism-related hashtags (N = 1,648,926). Sexism-related hashtags (N = 38,933,113) were mentioned 24 times more than ageism-related hashtags. The increasing linear trend of tweets associated with ageism (p < 0.001), sexism (p < 0.05), and racism (p < 0.05) reached significance. Incidents of racism and sexism often generated widespread public outrage. Conversely, instances of ageism rarely caused spikes in social media activity. Rather, these spikes were mainly observed during events such as the release of a report on ageism, a conference related to aging, or observances such as International Day of Older Persons.

Conclusion

There is a need to hasten moves to raise awareness of ageism. To ensure that discussions on ageism are not confined to academic and policy circles, advocacy campaigns could be held to educate the public on the issue and its negative concomitants.

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来源期刊
CiteScore
10.00
自引率
6.30%
发文量
504
审稿时长
3-6 weeks
期刊介绍: Journal of the American Geriatrics Society (JAGS) is the go-to journal for clinical aging research. We provide a diverse, interprofessional community of healthcare professionals with the latest insights on geriatrics education, clinical practice, and public policy—all supporting the high-quality, person-centered care essential to our well-being as we age. Since the publication of our first edition in 1953, JAGS has remained one of the oldest and most impactful journals dedicated exclusively to gerontology and geriatrics.
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