Using Twitter to Enhance the Social Support of Hispanic and Black Dementia Caregivers (Tweet-SS)

使用 Twitter 增强西班牙裔和黑人痴呆症护理人员的社会支持 (Tweet-SS)

• 批准号: 10599616
• 负责人: Sunmoo Yoon
• 金额: $ 16.89万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10599616
• 关键词: Address; Administrative Supplement; Aging; Algorithms; Award; Behavior; Behavioral; Black Populations; Black race; COVID-19; Caregivers; Communities; Data Science; Dementia; Dementia caregivers; Detection; Development; Disease; Emotional; Environment; Ethicists; Ethics; Goals; Health; Health Status; Hispanic; Hispanic Populations; Individual; Intervention; Interview; Loneliness; Measures; Metadata; Methods; Minority; Modeling; National Institute on Aging; Not Hispanic or Latino; Online Systems; Parents; Persons; Population; Practice Guidelines; Prevalence; Process; Quality of life; Research; Risk; Social Network; Social Sciences; Social isolation; Social support; Structure; Surveys; Text Messaging; Time; Twitter; base; bilingualism; dementia caregiving; design; experience; improved; innovation; intervention delivery; post intervention; recruit; response; social; social culture; social media; theories; tool

Administrative Supplement for Ethical Development and Use of AI/ML The prevalence of dementia is higher in Hispanics and Blacks than non-Hispanic Whites. Dementia caregivers often experience social isolation and loneliness as well decreased health status and lower quality of life. Social support interventions have been demonstrated to help mitigate these issues. The expansion of social media use among Hispanics and Blacks, particularly Twitter – a short message service – offers great promise for improving social support for Hispanic and Black dementia caregivers. However, analytic frameworks for analyzing Tweet content and social network structures in Twitter communities are relatively new and evolving rapidly, and there has been limited use of Twitter for intervention delivery. Informed by Social Exchange Theory, the goal of “Using Twitter to Enhance the Social Support of Hispanic and Black Dementia Caregivers” (Tweet-S2) is to advance the science of social support for Hispanics and Black dementia caregivers using Twitter. The intervention comprises daily posting of social support (informational, instrumental, emotional, appraisal) Tweets with embedded web-based information such as videos tailored to Black and Hispanic dementia caregivers, interactions with the caregiver networks by the bilingual project Tweeter, and a monthly Twitter chat hosted by the research team. The aims of the parent award Tweet-S2 are to: 1) Analyze Tweets specific to dementia caregiving in Blacks and compare Tweet content and social network structures with our prior findings in Hispanics, 2) Operationalize a Twitter-based intervention to enhance the social support for Hispanic and Black dementia caregivers, and 3) Evaluate the impact of the Twitter-based intervention on Tweet content and social network structures of Hispanic and Black dementia caregiver networks. This Supplement request in response to NOT-OD-22-065 expands the activities of Aims 1, 2 and 3 of the TweetS2 through the ethical use of our first version Black Tweet detection algorithm developed in Aim 1 to inform the design of culturally sensitive intervention in Aim 2 and recruitment process in Aim 3. The goal of the Supplement is to examine the risks, benefits, and ethical dilemmas inherent to the use of the “Black Twitter”/Black discourse detection algorithm that can occur at all layers of the socio-ecological model to inform the best practices and guidelines for ethical use of this AI/ML algorithm and any related approach developed and applied via similar methods. Using a mixed-methods approach, we will conduct in-depth interviews and an online survey with stakeholders, ethicists, and the public to achieve the goal. The contribution of the proposed study will be to develop an ecological approach to the ethical use of minority detection algorithms in social media in the context of the multidimensional dilemmas that arise when creating interventions to address disparities in dementia caregiving. These findings will inform the development of best practices and guidelines for users of demographic detection algorithm whose research focuses on designing and delivering culturally sensitive interventions regarding various diseases and health conditions.

AI/ML伦理开发和使用管理补充 西班牙裔和黑人的痴呆症患病率高于非西班牙裔白人。失智症照顾者 经常经历社会孤立和孤独，以及健康状况下降和生活质量下降。社会 支助干预措施已被证明有助于缓解这些问题。社交媒体的扩张 西班牙裔和黑人之间的使用，特别是Twitter -一个短消息服务-提供了很大的希望， 改善对西班牙裔和黑人痴呆症护理人员的社会支持。然而，分析框架 分析Twitter社区中的Twitter内容和社交网络结构是相对较新且不断发展的 Twitter在提供干预方面的使用有限。通过社会交流了解 理论，目标“使用Twitter来增强西班牙裔和黑人痴呆症护理人员的社会支持” （Tweet-S2）是为了推进西班牙裔和黑人痴呆症护理人员的社会支持科学， Twitter.干预包括每天张贴社会支持（信息，工具，情感， 评价）带有嵌入式网络信息的推文，例如为黑人和西班牙裔定制的视频 痴呆症护理人员，通过双语项目Tweeter与护理人员网络的互动，以及每月 研究团队主持的Twitter聊天。家长奖Tweet-S2的目的是：1）分析推文 专门针对黑人痴呆症患者，并将推文内容和社交网络结构与我们的 西班牙裔的先前发现，2）实施基于Twitter的干预措施，以加强对 西班牙裔和黑人痴呆症护理人员，以及3）评估基于Twitter的干预对 西班牙裔和黑人痴呆症护理者网络的推文内容和社交网络结构。这 响应NOT-OD-22-065的补充请求扩展了Tweet目标1、2和3的活动2 通过合乎道德地使用我们在Aim 1中开发的第一版黑推文检测算法， 在目标2中设计对文化敏感的干预措施，在目标3中设计招募程序。的目标 补充是检查的风险，收益，和道德困境固有的使用“黑色” Twitter”/黑色话语检测算法，可以发生在社会生态模型的各个层面，以告知 道德使用此AI/ML算法的最佳实践和指南以及开发的任何相关方法 并通过类似的方法应用。使用混合方法的方法，我们将进行深入访谈和 与利益相关者、伦理学家和公众进行在线调查，以实现目标。提议的捐助 研究将开发一种生态方法，以道德地使用少数群体检测算法， 媒体在创建干预措施时出现的多维困境的背景下， 在痴呆症治疗中的差异。这些调查结果将为制定最佳做法和准则提供信息 对于人口统计检测算法的用户，其研究重点是设计和提供文化 对各种疾病和健康状况采取敏感的干预措施。