Characterization of Temporal Semantic Shifts of Peer-to-peer Communication in a Health-related Online Community: Implications for Data-driven Health Promotion
Characterization of Temporal Semantic Shifts of Peer-to-peer Communication in a Health-related Online Community: Implications for Data-driven Health Promotion
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发表时间：
2016
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通讯作者：
Vishnu Sridharan;T. Cohen;Nathan K. Cobb;Sahiti Myneni
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作者：
Vishnu Sridharan;T. Cohen;Nathan K. Cobb;Sahiti Myneni
随着在线社交平台作为行为改变的场所越来越受欢迎，重要的是要了解这些平台促进同伴互动的方式。在本文中，我们通过映射的理论联系语义内容的用户通信的时间趋势的特点。我们使用定性编码和自动化文本分析，分配理论技术，在网上戒烟社区的同行互动，随后促进所观察到的技术的时间可视化。结果表明，表现出几种行为改变技术，如反馈和监测“和”奖励“。自动化方法产生了合理的结果（F-测量值=0.77）。复发者的时间趋势显示复发事件后沟通减少。这种社会退缩可能归因于复发后的失败内疚。结果表明，显着的变化，如“社会支持”，“自然后果”，和“比较结果”前和复发后的主题类别。发展的行为支持技术，促进长期禁欲的影响进行了讨论。
With online social platforms gaining popularity as venues of behavior change, it is important to understand the ways in which these platforms facilitate peer interactions. In this paper, we characterize temporal trends in user communication through mapping of theoretically-linked semantic content. We used qualitative coding and automated text analysis to assign theoretical techniques to peer interactions in an online community for smoking cessation, subsequently facilitating temporal visualization of the observed techniques. Results indicate manifestation of several behavior change techniques such as feedback and monitoring' and 'rewards'. Automated methods yielded reasonable results (F-measure=0.77). Temporal trends among relapsers revealed reduction in communication after a relapse event. This social withdrawal may be attributed to failure guilt after the relapse. Results indicate significant change in thematic categories such as 'social support', 'natural consequences', and 'comparison of outcomes' pre and post relapse. Implications for development of behavioral support technologies that promote long-term abstinence are discussed.