SoCS: Collaborative Research: Conversational Dynamics in Online Support Groups

SoCS：协作研究：在线支持小组中的对话动态

• 批准号: 0968480
• 负责人: John Levine
• 金额: $ 11.22万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0968480&HistoricalAwards=false
• 关键词: SoCS; Collaborative; Research; Conversational; Dynamics

Health support groups, including those on the internet, can substantially benefit participants, but the social processes responsible for these benefits are unclear. A team of researchers led by Robert Kraut at Carnegie-Mellon University will explore how the conversational dynamics of online cancer support groups influence group functioning and participant quality of life and will develop computational tools that can be used to analyze online conversations and improve their effectiveness. The research project has four specific goals. (1) To understand how conversational episodes in online support groups facilitate social support. For example, what must a person say to get others to respond empathically? (2) To understand how support in these groups influences group commitment and affects health outcomes. (3) To develop computational tools to make the analysis of large datasets of health conversations tractable. (4) To use these tools to improve the training of support group facilitators.Online health support groups are popular, being used by about 58% of American adults. Identifying the role of communication in online cancer support groups will provide valuable information to users and facilitators of these groups and will enhance their training. Moreover, a tool for analyzing large corpora of conversational data will facilitate the work of researchers who are interested in conversational behavior in other kinds of online groups

健康支持团体，包括那些在互联网上，可以大大有利于参与者，但负责这些好处的社会过程尚不清楚。 由罗伯特·克劳特（Robert Kraut）领导的一组研究人员将探索在线癌症支持团体的对话动态如何影响团体功能和参与者的生活质量，并将开发可用于分析在线对话并提高其有效性的计算工具。该研究项目有四个具体目标。(1)了解在线支持小组中的会话片段如何促进社会支持。例如，一个人必须说什么才能让别人产生共鸣？(2)了解这些群体中的支持如何影响群体承诺并影响健康结果。(3)开发计算工具，使健康对话的大型数据集的分析易于处理。(4)使用这些工具来提高支持小组促进者的培训。在线健康支持小组很受欢迎，大约58%的美国成年人使用。确定沟通在网上癌症支持小组中的作用将为这些小组的用户和促进者提供有价值的信息，并将加强他们的培训。此外，一个分析大型会话数据语料库的工具将有助于对其他类型在线群体中会话行为感兴趣的研究人员的工作