Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media.

Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media.
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DOI:
10.1145/2858036.2858207
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发表时间:
2016-05
期刊:
Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference
影响因子:
--
通讯作者:
Kumar M
Kumar M
中科院分区:
其他
文献类型:
--
作者:
De Choudhury M;Kiciman E;Dredze M;Coppersmith G;Kumar M

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精神疾病史是自杀风险和意念背后的主要因素。然而,由于缺乏有关自杀意念的信息,而精神疾病的耻辱加剧了这种风险,因此描述和预测这种风险的研究工作受到限制。本文通过开发一种统计方法来推断哪些人可以经历从心理健康话语到自杀意念的转变,从而填补了文献中的空白。我们利用 Reddit 上的半匿名支持社区作为不引人注目的数据源来推断这些转变的可能性。为此,我们开发了语言和互动措施,以及基于倾向得分匹配的统计方法。我们的方法使我们能够得出自杀意念转变的明显标志。这些标记可以在预测框架中建模,以识别未来可能产生自杀意念的个体。我们讨论这项研究的社会和伦理影响。
History of mental illness is a major factor behind suicide risk and ideation. However research efforts toward characterizing and forecasting this risk is limited due to the paucity of information regarding suicide ideation, exacerbated by the stigma of mental illness. This paper fills gaps in the literature by developing a statistical methodology to infer which individuals could undergo transitions from mental health discourse to suicidal ideation. We utilize semi-anonymous support communities on Reddit as unobtrusive data sources to infer the likelihood of these shifts. We develop language and interactional measures for this purpose, as well as a propensity score matching based statistical approach. Our approach allows us to derive distinct markers of shifts to suicidal ideation. These markers can be modeled in a prediction framework to identify individuals likely to engage in suicidal ideation in the future. We discuss societal and ethical implications of this research.