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)
基本信息
- 批准号:10682397
- 负责人:
- 金额:$ 55.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-07-15 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:African AmericanAfrican American populationAgingAlgorithmsAmericanBehavioralBlack PopulationsBlack raceCaregiver researchCaregiversChronicCommunitiesDataData ScienceDatabasesDementiaDementia caregiversEmotionalEnvironmentFrequenciesFundingHealth StatusHispanicHispanic PopulationsHourIndividualInterventionJournalsKnowledgeLibrariesLonelinessMeasuresMetadataMethodsMiningModelingNational Institute on AgingNew York CityNot Hispanic or LatinoOnline SystemsPathway AnalysisPopulationPrevalencePreventive MedicinePublishingQualifyingQuality of lifeQuasi-experimentResearchSocial NetworkSocial isolationSocial supportStructureTechniquesTestingText MessagingTimeTwitterVisualizationWorkanalytical methodbilingualismcaregivingdata miningdementia caregivingdesignexperiencehealth literacyimprovedinnovationintervention deliverynovelonline resourcepost interventionprogramsresponsesocialsocial culturesocial mediatheoriestool
项目摘要
Using Twitter to Enhance the Social Support of Hispanic and Black Dementia Caregivers (Tweet-SS)
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. In addition, the availability of large
volumes of Tweets and associated metadata make it possible to apply innovative data science methods to
characterize engagement in a social support intervention and to assess its influence over time. 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. Through
federal funding, our research team has conducted substantial research on Hispanic dementia caregiving using
Twitter analytics to discover and visualize Tweet content and social network structures and is uniquely qualified
to develop, implement, and evaluate a Twitter-based social support intervention for Hispanic and Black
dementia caregivers. Informed by Social Exchange Theory, the specific aims of Tweet-SS 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. We will test
two hypotheses: (a) There will be significant pre/post-intervention differences in Tweet content and macro-,
meso-, and micro-level network structures for Hispanic and Black dementia caregiver networks, and (b) There
will be no significant differences in level of engagement with the Twitter-based intervention, Tweet content, and
social network structures between Hispanic and Black dementia caregiver networks. 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. We will use a quasi-experimental non-equivalent 2-group design with pre- and post-
intervention measures to characterize dementia caregiver engagement with the Twitter-based social support
intervention and examine its influence on Tweets content and network structures. Tweet-SS is responsive to
the National Institute of Aging Strategic Directions for Research on Aging in terms of populations, domains
(behavioral and sociocultural environment), and levels of influence (individual, interpersonal, community).
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-SS)
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。此外,大型
大量的推文和相关的元数据使应用创新的数据科学方法成为可能,
描述参与社会支持干预的特征,并评估其随时间的影响。然而,在这方面,
用于分析Twitter社区中的Twitter内容和社交网络结构的分析框架是
这是一个相对较新且发展迅速的工具,Twitter在提供干预方面的使用有限。通过
在联邦基金的资助下,我们的研究小组对西班牙裔痴呆症患者进行了大量研究,
Twitter分析发现和可视化推文内容和社交网络结构,是唯一合格的
开发,实施和评估基于Twitter的西班牙裔和黑人社会支持干预
痴呆症护理人员根据社会交换理论,Tweet-SS的具体目标是:1)分析
专门针对黑人痴呆症的推文,并比较推文内容和社交网络结构
与我们先前在西班牙裔美国人中的发现相一致; 2)实施基于Twitter的干预措施,以增强社会支持
西班牙裔和黑人痴呆症护理人员; 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。我们将测试
两个假设:(a)在推文内容和宏观方面,
西班牙裔和黑人痴呆护理者网络的中、微观网络结构,以及(B)
在基于Twitter的干预、Twitter内容和
西班牙裔和黑人痴呆症护理者网络之间的社会网络结构。干预
包括每天发布社会支持(信息,工具,情感,评价)推文,
嵌入式基于网络的信息,如为黑人和西班牙裔痴呆症护理人员量身定制的视频,
通过双语项目Tweeter与护理人员网络进行互动,以及由
研究团队。我们将使用准实验非等效2组设计,
干预措施,以表征痴呆症照顾者与基于Twitter的社会支持的参与
干预,并检查其对推文内容和网络结构的影响。Tweet-SS响应于
国家老龄化研究所在人口、领域、
(行为和社会文化环境)和影响水平(个人,人际,社区)。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers.
使用人工智能开发一种基于词典的非裔美国推文检测算法,以为基于文化敏感的Twitter社会支持干预措施提供给非裔美国痴呆症护理人员的社会支持干预措施。
- DOI:10.3233/shti210844
- 发表时间:2022-01-14
- 期刊:
- 影响因子:0
- 作者:Broadwell P;Davis N;Yoon S
- 通讯作者:Yoon S
Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.
应用社交网络分析提及大麻和阿片类药物的 COVID-19 相关推文,以获得药物滥用研究的见解。
- DOI:10.3233/shti200479
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Yoon,Sunmoo;Odlum,Michelle;Broadwell,Peter;Davis,Nicole;Cho,Hwayoug;Deng,Nanyi;Patrao,Maria;Schauer,Deborah;Bales,MichaelE;Alcantara,Carmela
- 通讯作者:Alcantara,Carmela
Comparing Emotional Valence Scores of Twitter Messages from Human Coding and Machine Learning Algorithms Among Hispanic and African American Family Caregivers of Persons with Dementia.
比较西班牙裔和非裔美国痴呆症患者家庭护理人员通过人类编码和机器学习算法发布的 Twitter 消息的情绪效价分数。
- DOI:10.3233/shti230526
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Yoon,Sunmoo;Broadwell,Peter;Tipiani,Dante;Bristol,Amanda;Moon,Soyoung;Yoon,Brian;Liu,Jianfang;Huang,Niya;Davis,Nicole
- 通讯作者:Davis,Nicole
Comparing Emotional Valence Scores of Twitter Posts from Manual Coding and Machine Learning Algorithms to Gain Insights to Refine Interventions for Family Caregivers of Persons with Dementia.
- DOI:10.3233/shti220710
- 发表时间:2022-06-29
- 期刊:
- 影响因子:0
- 作者:Yoon, Sunmoo;Broadwell, Peter;Sun, Frederick F;Jang, Sun Joo;Lee, Haeyoung
- 通讯作者:Lee, Haeyoung
Comparing Themes Extracted via Topic Modeling and Manual Content Analysis: Korean-Language Discussions of Dementia on Twitter.
- DOI:10.3233/shti220704
- 发表时间:2022-06-29
- 期刊:
- 影响因子:0
- 作者:Lee, Haeyoung;Jang, Sun Joo;Sun, Frederick F;Broadwell, Peter;Yoon, Sunmoo
- 通讯作者:Yoon, Sunmoo
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{{ truncateString('Sunmoo Yoon', 18)}}的其他基金
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 - 财政年份:2019
- 资助金额:
$ 55.92万 - 项目类别:
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:
9973186 - 财政年份:2019
- 资助金额:
$ 55.92万 - 项目类别:
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:
10216164 - 财政年份:2019
- 资助金额:
$ 55.92万 - 项目类别:
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:
10417137 - 财政年份:2019
- 资助金额:
$ 55.92万 - 项目类别:
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