Psychosocial dynamics of suicidality and nonsuicidal self-injury: a digital linguistic perspective.

Charlotte Entwistle, Katie Hoemann, Sophie J Nightingale, Ryan L Boyd
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Abstract

Self-harm-encompassing suicidality and nonsuicidal self-injury (NSSI)-presents a critical public health concern, particularly as it is a major risk factor of death by suicide. Understanding the psychosocial dynamics of self-harm is imperative. Accordingly, in a large-scale, naturalistic study, we leveraged modern language analysis methods to provide a comprehensive perspective on suicidality and NSSI, specifically in the context of borderline personality disorder (BPD), where self-harm is particularly prevalent. We utilised natural language processing techniques to analyse Reddit data (i.e., BPD forum posts) of 992 users with self-identified BPD (combined N posts = 66,786). The present findings generated further insight into the psychosocial dynamics of suicidality and NSSI, while also uncovering meaningful interactions between the online BPD community and these behaviours. By integrating advanced computational methods with psychological theory, our findings provide a nuanced understanding of self-harm, with implications for clinical practice, clinical and personality theory, and computational social science.

自杀和非自杀自伤的社会心理动态:数字语言学视角。
自残——包括自杀和非自杀性自伤(NSSI)——是一个重要的公共卫生问题,特别是因为它是自杀死亡的主要风险因素。了解自我伤害的社会心理动力是必要的。因此,在一项大规模的自然主义研究中,我们利用现代语言分析方法,对自杀和自伤提供了一个全面的视角,特别是在自我伤害特别普遍的边缘型人格障碍(BPD)的背景下。我们利用自然语言处理技术分析了992名自认为BPD的用户(N个帖子合计= 66,786)的Reddit数据(即BPD论坛帖子)。目前的研究结果进一步深入了解了自杀和自伤的社会心理动力学,同时也揭示了在线BPD社区与这些行为之间有意义的相互作用。通过将先进的计算方法与心理学理论相结合,我们的研究结果提供了对自我伤害的细致理解,对临床实践、临床和人格理论以及计算社会科学具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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