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The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk

机译:社会媒体社会支持的语言及其对自杀意识形来风险的影响

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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.
机译:已知在线社会支持在心理健康中发挥重要作用。但是,目前的研究有限于量化该链接的能力。由于纵向,精神疾病预测和精神疾病的风险数据的缺乏,以及可靠的方法,可以检验过去可用性与未来风险之间的可靠方法的挑战。在本文中,我们提出了一种方法来衡量红土卫生卫生社区的评论语言如何影响未来自杀意识形来的风险。在基于分层的倾向分数分析的框架中纳入人类评估,我们确定了个人的相当群体,并衡量了在线社会支持语言的影响。我们通过建立的社会支持的理论模型来解释这些语言线索,并发现尊重和网络支持在降低即将到来的风险方面发挥更加突出的作用。我们讨论了我们对设计工具的含义,以改善在线社区的支持条款。

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