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Identifying Persuasive Qualities of Decentralized Peer-to-Peer Online Social Networks in Public Health

机译:在公共卫生中确定分散的同伴在线社交网络的说服性素质

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Online social networks as behavior change support systems have been rapidly gaining in popularity. These networks have been studied by public health specialists from the point of view of traditional behavior change theories. However, scant research exists on the persuasive content of the messages exchanged between participants in such networks. In this paper, we use Persuasive Systems Design (PSD) model to develop a framework for identifying persuasive attributes in online social networks. This framework was applied to QuitNet, an online social network for smoking cessation. Results indicated that the communication in QuitNet had persuasive qualities such as reduction, simulation, social learning, reminders, suggestions, and rewards. Further, these features were predominantly found in messages related to "QuitNet-specific customs", "Quit progress", and "Family and friends". Use of this framework enables the development of quantitative relationships between persuasive attributes and behavior change outcomes experienced by network members.
机译:作为行为改变支持系统的在线社交网络已经迅速获得普及。从传统行为改变理论的角度来看,这些网络已经被公共卫生专家研究。然而,存在于这些网络中参与者交换的消息的有说服力内容的瘢痕研究。在本文中,我们使用有说服力系统设计(PSD)模型来开发用于在线社交网络中识别说服性属性的框架。该框架应用于Quitnet,是一个用于吸烟的在线社交网络。结果表明,Quitnet中的通信具有说服性的品质,如减少,模拟,社会学习,提醒,建议和奖励。此外,这些特征主要在与“Quitnet特定的海关”,“退出进度”和“家庭和朋友”相关的消息中。使用此框架可以在网络成员经历的有说服力属性和行为改变成果之间的定量关系的发展。

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