Morese Rosalba, Gruebner Oliver, Sykora Martin, Elayan Suzanne, Fadda Marta, Albanese Emiliano
Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland.
Faculty of Communication, Culture and Society, Università della Svizzera italiana, Lugano, Switzerland.
Front Psychiatry. 2022 Apr 14;13:652167. doi: 10.3389/fpsyt.2022.652167. eCollection 2022.
Social media platforms are increasingly used across many population groups not only to communicate and consume information, but also to express symptoms of psychological distress and suicidal thoughts. The detection of suicidal ideation (SI) can contribute to suicide prevention. Twitter data suggesting SI have been associated with negative emotions (e.g., shame, sadness) and a number of geographical and ecological variables (e.g., geographic location, environmental stress). Other important research contributions on SI come from studies in neuroscience. To date, very few research studies have been conducted that combine different disciplines (epidemiology, health geography, neurosciences, psychology, and social media big data science), to build innovative research directions on this topic. This article aims to offer a new interdisciplinary perspective, that is, a Population Neuroscience perspective on SI in order to highlight new ways in which multiple scientific fields interact to successfully investigate emotions and stress in social media to detect SI in the population. We argue that a Population Neuroscience perspective may help to better understand the mechanisms underpinning SI and to promote more effective strategies to prevent suicide timely and at scale.
社交媒体平台在许多人群中使用得越来越频繁，人们不仅用它来交流和获取信息，还用它来表达心理困扰症状和自杀念头。自杀意念（SI）的检测有助于预防自杀。推特上表明有自杀意念的数据与负面情绪（如羞耻、悲伤）以及一些地理和生态变量（如地理位置、环境压力）有关。关于自杀意念的其他重要研究贡献来自神经科学领域的研究。迄今为止，很少有研究将不同学科（流行病学、健康地理学、神经科学、心理学和社交媒体大数据科学）结合起来，以建立关于这一主题的创新研究方向。本文旨在提供一个新的跨学科视角，即关于自杀意念的群体神经科学视角，以突出多个科学领域相互作用的新方式，从而成功地在社交媒体中研究情绪和压力，以检测人群中的自杀意念。我们认为，群体神经科学视角可能有助于更好地理解自杀意念背后的机制，并促进更有效的策略，以便及时、大规模地预防自杀。
