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养成的影响 养生法已经有了很好的记录。在数字化和参与式健康传播的时代， 健康促进方面的社会联系变得更加复杂。将点对点数字化的在线社区 交流，也为研究人员提供了了解集体社会机制的独特机会 因为人类行为背后的个人因素发生了变化。大多数对线上和线下社交网络的研究都 没有考虑沟通意图和内容与社会影响力之间的动态关系。在建议的 研究中，我们将开发一个多维的社交分析方法框架，以 利用在线社区提供的丰富而海量的数据。我们的框架旨在纳入和 整合交际意图、语义和网络交际结构来研究社会行为 健康行为因素和慢性病管理，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的背景下发展它们， 特别关注戒烟和糖尿病管理。这项研究提案将导致-1) 描述在线社交环境中行为的交流领域的新理论框架 更改，2)可扩展的技术，用于模拟与自我关联的表达式、语义和社交依赖 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 支持个人积极健康行为改变和慢性病的干预措施 管理层。

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.