CHS: Small: Making sense of information in online discussion boards with novel social computing platforms

CHS：小型：利用新颖的社交计算平台理解在线讨论区中的信息

• 批准号: 1422381
• 负责人: Lena Mamykina
• 金额: $ 49.99万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1422381&HistoricalAwards=false
• 关键词: CHS; Small; Making; sense; information

This project will analyze how individuals make sense of information collected within online health forums and how existing computing platforms facilitate or inhibit this process. Increasingly, individuals of all walks of life go online to collect and share information, collectively make sense of it and negotiate its meaning, reach a consensus, or agree to disagree, and, thus, generate a repository of collective wisdom that can be shared and reused. These social behaviors, often referred to as "sensemaking," are particularly consequential in health and wellness management, as increasing numbers of individuals join online health support communities and rely on their peers for help and advice. Despite the ongoing research on social computing platforms and on attitudes, perceptions and behaviors of their users, the dynamics of computer-mediated sensemaking remain poorly understood. Moreover, most of the information collected within these forums continues to exist in the form of discussion threads that provide little guidance as to the main topics discussed, the relationships between posts within the thread, different attitudes towards the topics of interest, and the overall dynamics of the discussions. The overarching goal of this research is to develop novel summarization, visualization, and interaction mechanisms to help individuals make sense of information and opinions collected in online forums. Specifically, the research will seek to understand how sensemaking unfolds within discussion threads, describe it through a set of formalizations, or semantic discussion typologies, and identify ways to study it computationally. Participatory design methods will then be used to develop novel visualization and interaction mechanisms for facilitating individual and collective sensemaking within online forums. A combination of computational data analysis and visualization techniques will automatically generate visual summaries of discussions threads that can help users to understand the evolution of meaning in discussions. This research will build upon previous work in natural language processing and data mining, to represent salient properties of the discussion threads, such as discussion topics and their transformation overtime, and the various attitudes towards the topics among the users. Finally, the discussion visualization tools will be evaluated on their impact on individual and collective sensemaking in controlled experiments and in a deployment study within an existing online health community oriented toward the difficult health issues associated with diabetes.

该项目将分析个人如何理解在线健康论坛中收集的信息以及现有计算平台如何促进或抑制这一过程。 越来越多的各行各业的个人上网收集和分享信息，集体理解信息并协商其含义，达成共识或同意不同意见，从而产生可以共享和共享的集体智慧库。重复使用。 这些社会行为通常被称为“意义建构”，在健康和保健管理中尤其重要，因为越来越多的人加入在线健康支持社区并依赖同伴寻求帮助和建议。 尽管对社交计算平台及其用户的态度、看法和行为的研究正在进行中，但对计算机介导的意义建构的动态仍然知之甚少。 此外，这些论坛中收集的大部分信息仍然以讨论线索的形式存在，这些信息对讨论的主要主题、帖子内帖子之间的关系、对感兴趣的主题的不同态度以及整体动态提供很少的指导。的讨论。 这项研究的总体目标是开发新颖的总结、可视化和交互机制，以帮助个人理解在线论坛中收集的信息和观点。具体来说，该研究将寻求理解意义建构如何在讨论线索中展开，通过一组形式化或语义讨论类型来描述它，并确定计算研究它的方法。 然后，参与式设计方法将用于开发新颖的可视化和交互机制，以促进在线论坛中的个人和集体意义建构。 计算数据分析和可视化技术的结合将自动生成讨论线程的视觉摘要，可以帮助用户理解讨论中含义的演变。这项研究将建立在自然语言处理和数据挖掘方面的先前工作的基础上，以表示讨论线程的显着属性，例如讨论主题及其随时间的转换，以及用户对主题的各种态​​度。最后，将在受控实验和针对与糖尿病相关的困难健康问题的现有在线健康社区内的部署研究中评估讨论可视化工具对个人和集体意义建构的影响。