社交媒体中社会支持的语言及其对自杀意念风险的影响。
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk.
作者信息
De Choudhury Munmun, Kıcıman Emre
机构信息
Georgia Institute of Technology.
Microsoft Research.
出版信息
Proc Int AAAI Conf Weblogs Soc Media. 2017 May;2017:32-41.
Abstract
Online social support is known to play a significant role in mental well-being. However, current research is limited in its ability to quantify this link. Challenges exist due to the paucity of longitudinal, pre- and post mental illness risk data, and reliable methods that can examine causality between past availability of support and future risk. In this paper, we propose a method to measure how the language of comments in Reddit mental health communities influences risk to suicidal ideation in the future. Incorporating human assessments in a stratified propensity score analysis based framework, we identify comparable subpopulations of individuals and measure the effect of online social support language. We interpret these linguistic cues with an established theoretical model of social support, and find that esteem and network support play a more prominent role in reducing forthcoming risk. We discuss the implications of our work for designing tools that can improve support provisions in online communities.
摘要
众所周知，在线社交支持对心理健康起着重要作用。然而，目前的研究在量化这种联系的能力方面存在局限性。由于缺乏纵向的、疾病发生前后的心理疾病风险数据，以及能够检验过去支持的可得性与未来风险之间因果关系的可靠方法，因此存在挑战。在本文中，我们提出了一种方法，来衡量Reddit心理健康社区中评论的语言如何影响未来自杀意念的风险。在基于分层倾向得分分析的框架中纳入人工评估，我们识别出个体的可比亚群体，并衡量在线社交支持语言的影响。我们用一个既定的社会支持理论模型来解释这些语言线索，发现自尊和网络支持在降低即将到来的风险方面发挥着更突出的作用。我们讨论了我们的工作对设计能够改善在线社区支持提供的工具的意义。
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