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

摘要： 社会关系对健康行为管理和积极健康采纳的影响 已经有充分的文献记载。在数字化和参与式健康传播时代， 促进健康方面的社会联系变得更加复杂。在线社区， 交流，提供了一个独特的机会，研究人员了解集体的社会机制，以及 作为人类行为变化的基础的个体因素。大多数关于在线和离线社交网络的研究都 没有考虑传播意图和内容之间的动态性与社会影响力。拟议 研究，我们将建立一个多维度的社会交往分析方法框架， 利用在线社区提供的丰富而庞大的数据。我们的框架旨在纳入和 整合沟通意图、语意与网路沟通结构来研究社会行为 健康行为和慢性病管理的因素，虽然我们的方法将普遍适用， 我们将在在线社区成员之间与健康相关的交流背景下开发这些工具， 特别是关注戒烟和糖尿病管理。本研究计划将导致：（1） 新的理论框架，描述了在线社交环境中的行为沟通领域 改变，2）可扩展的技术，以模型表达，语义和社会依赖关系相关联的自我， 报告的健康结果，以及3）发展数据驱动的社会行为的新建议 干预措施，以支持个人从事积极的健康行为改变和慢性病 管理

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.