Self-Disclosure and Channel Difference in Online Health Support Groups
Self-Disclosure and Channel Difference in Online Health Support Groups
复制标题
在线健康支持团体的自我表露和渠道差异
DOI：
10.1609/icwsm.v11i1.14935
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
R. Kraut
中科院分区：
文献类型：
--
作者：
Diyi Yang;Zheng Yao;R. Kraut
在线健康支持小组是人们将自己与他人进行比较并获得有关其疾病的信息和情感支持的场所。要做到这一点，他们通常需要透露自己的私人信息，在许多支持网站上，他们可以通过公共或私人渠道做到这一点。然而，我们对健康支持团体中渠道的公开性如何影响人们提供的自我披露量知之甚少。我们的工作检查了在线癌症支持小组的私人和公共渠道中成员自我披露的程度。我们首先建立了机器学习模型来自动识别在这个社区中交换的消息中积极和消极的自我披露的数量，具有足够的有效性（r>0.70）。与非健康相关网站的调查结果相反，我们的研究结果表明，人们通常在公共渠道上比在私人渠道上更多地自我披露，尤其有可能公开透露他们的消极想法和感受。我们讨论了我们工作的理论和实践意义。
Online health support groups are places for people to compare themselves with others and obtain informational and emotional support about their disease. To do so, they generally need to reveal private information about themselves and in many support sites, they can do this in public or private channels. However, we know little about how the publicness of the channels in health support groups influence the amount of self-disclosure people provide. Our work examines the extent members self-disclose in the private and public channels of an online cancer support group. We first built machine learning models to automatically identify the amount of positive and negative self-disclosure in messages exchanged in this community, with adequate validity (r>0.70). In contrast to findings from non-health-related sites, our results show that people generally self-disclose more in the public channel than the private one and are especially likely to reveal their negative thoughts and feelings publicly. We discuss theoretical and practical implications of our work.