Pragmatics to Reveal Intention in Social Media (PRISM) for Health Promotion

实用主义揭示社交媒体 (PRISM) 促进健康的意图

• 批准号: 9979950
• 负责人: SAHITI MYNENI
• 金额: $ 34.27万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-17 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9979950
• 关键词: Adoption; Affect; Automation; Behavior; Behavior Therapy; Behavioral; Characteristics; Chronic Disease; Classification; Communication; Communications Media; Communities; Community Health; Complex; Custom; Data; Dependence; Development; Discourse analysis; Disease Management; Education; Event; Evolution; Goals; Health; Health Campaign; Health Communication; Health Promotion; Health behavior; Health behavior change; Human; Individual; Intention; Intervention; Knowledge; Learning; Manuals; Maps; Mediation; Mediator of activation protein; Methodology; Methods; Modeling; Outcome; Patient Self-Report; Psychological reinforcement; Public Health; Readiness; Recommendation; Regimen; Research; Research Personnel; Research Proposals; Role; Self Efficacy; Self-Direction; Semantics; Social Behavior; Social Interaction; Social Network; Speech; Structure; Surface; System; Techniques; Technology; Text; Work; behavior change; convolutional neural network; design; diabetes management; digital; experience; health management; improved; indexing; insight; machine learning method; member; network models; nicotine patch; online community; peer; psychosocial; role model; smoking cessation; social; social media; social relationships; supervised learning; virtual coach

Abstract: The effects of social relationships on management of health behaviors and adoption of positive wellness regimens has been well documented. In the era of digital and participatory health communication, the role of social ties in health promotion has become more complex. Online communities, which digitize peer-to-peer communication, provide a unique opportunity to researchers to understand collective social mechanisms as well as individual factors underlying human behavior change. Most studies of online and offline social networks have not considered the dynamics among communication intent and content with social influence. In the proposed research, we will develop a multi-dimensional methodological framework for social intercourse analysis to leverage the rich and voluminous data provided by online communities. Our framework aims to incorporate and integrate communication intent, semantics and structure of online communication to study sociobehavioral factors of health behaviors and chronic disease management, While our methods will be generally applicable, we will develop them in the context of health-related communication between members of online communities, particularly focusing on smoking cessation and diabetes management. This research proposal will result in- 1) new theoretical frameworks that describe the communication domain in a online social setting for behavior change, 2) scalable techniques to model expressions, semantics, and social dependencies associated self- reported health outcomes, and 3) new proposals for the development of data-driven sociobehavioral interventions to support individuals engaging in positive health behavior changes and chronic disease management.

抽象的： 社会关系对健康行为管理和采用积极健康的影响 疗法已得到充分记录。在数字和参与式健康交流的时代 健康促进的社会联系变得更加复杂。在线社区，数字化点对点 沟通，为研究人员提供一个独特的机会，以了解集体社会机制 作为人类行为的基本因素的变化。大多数在线和离线社交网络的研究都有 没有考虑到沟通意图和社会影响力的内容之间的动态。在提议中 研究，我们将开发一个多维方法学框架，以进行社会性交分析 利用在线社区提供的丰富和丰富的数据。我们的框架旨在合并和 整合沟通意图，语义和在线沟通的结构来研究社会行为 健康行为和慢性疾病管理的因素，而我们的方法通常适用，但 我们将在在线社区成员之间与健康相关的沟通的背景下开发它们， 特别关注戒烟和糖尿病管理。该研究建议将导致1） 在在线社交环境中描述交流域的新理论框架 更改，2）可扩展技术，以模拟表达式，语义和社会依赖性相关的自我 报告的健康结果，以及3）开发数据驱动的社会行为的新建议 干预措施，以支持从事积极健康行为变化和慢性病的个人 管理。