Reuben Ng PhD, Nicole Indran BSocSci (Hons), Luyao Liu MSc
{"title":"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。","authors":"Reuben Ng PhD, Nicole Indran BSocSci (Hons), Luyao Liu MSc","doi":"10.1111/jgs.19047","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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 (<i>N</i> = 154,353,047) spanned 15 years, from August 23, 2007 to December 31, 2022.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>From 2007 to 2022, racism-related hashtags were used the most, followed by sexism-related hashtags and ageism-related hashtags. Racism-related hashtags (<i>N</i> = 99,250,348) were mentioned about 60 times more than ageism-related hashtags (<i>N</i> = 1,648,926). Sexism-related hashtags (<i>N</i> = 38,933,113) were mentioned 24 times more than ageism-related hashtags. The increasing linear trend of tweets associated with ageism (<i>p</i> < 0.001), sexism (<i>p</i> < 0.05), and racism (<i>p</i> < 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":17240,"journal":{"name":"Journal of the American Geriatrics Society","volume":"72 10","pages":"3149-3155"},"PeriodicalIF":4.3000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jgs.19047","citationCount":"0","resultStr":"{\"title\":\"Social media discourse on ageism, sexism, and racism: Analysis of 150 million tweets over 15 years\",\"authors\":\"Reuben Ng PhD, Nicole Indran BSocSci (Hons), Luyao Liu MSc\",\"doi\":\"10.1111/jgs.19047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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 (<i>N</i> = 154,353,047) spanned 15 years, from August 23, 2007 to December 31, 2022.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>From 2007 to 2022, racism-related hashtags were used the most, followed by sexism-related hashtags and ageism-related hashtags. Racism-related hashtags (<i>N</i> = 99,250,348) were mentioned about 60 times more than ageism-related hashtags (<i>N</i> = 1,648,926). Sexism-related hashtags (<i>N</i> = 38,933,113) were mentioned 24 times more than ageism-related hashtags. The increasing linear trend of tweets associated with ageism (<i>p</i> < 0.001), sexism (<i>p</i> < 0.05), and racism (<i>p</i> < 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>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.</p>\\n </section>\\n </div>\",\"PeriodicalId\":17240,\"journal\":{\"name\":\"Journal of the American Geriatrics Society\",\"volume\":\"72 10\",\"pages\":\"3149-3155\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jgs.19047\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Geriatrics Society\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jgs.19047\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Geriatrics Society","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jgs.19047","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
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.
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.