Digital trace data and computational methods are increasingly being used by researchers to study mental health phenomena (i.e. psychopathology and well-being) in social media. Computer-assisted mental health research is not simply a continuation of previous studies, but rather raises ethical, conceptual and methodological issues that are critical to behavioural science but have not yet been systematically explored. Based on a systematic review of n = 147 studies, we reveal a multidisciplinary field of research that has grown immensely since 2010, spanning the humanities, social sciences, and engineering. We find that a substantial majority of studies in our sample lack a standardized form of ethical consideration, focus on specific constructs and have a rather narrow focus on specific social media platforms. Based on our findings, we discuss how computational elements have influenced mental health research, highlight academic gaps and suggest promising directions for future studies.

研究人员越来越多地使用数字追踪数据和计算方法来研究社交媒体中的心理健康现象（即精神病理学和幸福感）。计算机辅助心理健康研究不仅仅是先前研究的延续，而是提出了对行为科学至关重要但尚未系统探索的伦理、概念和方法论问题。基于对n的系统评价 = 147 项研究，我们揭示了自 2010 年以来发展迅速的多学科研究领域，涵盖人文、社会科学和工程学。我们发现，我们样本中的绝大多数研究缺乏标准化形式的伦理考虑，专注于特定的结构，并且对特定社交媒体平台的关注相当狭窄。根据我们的发现，我们讨论了计算元素如何影响心理健康研究，突出学术差距并为未来的研究提出有希望的方向。