The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of social media, individuals often express and share lived experiences and struggles with mental health. However, there is a gap in our understanding about the existence and effectiveness of the Papageno effect in social media, which we study in this paper. In particular, we adopt a causal-inference framework to examine the impact of exposure to mental health coping stories on individuals on Twitter. We obtain a Twitter dataset with $\sim$2M posts by $\sim$10K individuals. We consider engaging with coping stories as the Treatment intervention, and adopt a stratified propensity score approach to find matched cohorts of Treatment and Control individuals. We measure the psychosocial shifts in affective, behavioral, and cognitive outcomes in longitudinal Twitter data before and after engaging with the coping stories. Our findings reveal that, engaging with coping stories leads to decreased stress and depression, and improved expressive writing, diversity, and interactivity. Our work discusses the practical and platform design implications in supporting mental wellbeing.

翻译：帕帕吉诺效应关注媒体如何在预防和减轻自杀意念及行为方面发挥积极作用。随着社交媒体的日益普及和广泛使用，个体常在此表达和分享心理健康方面的亲身经历与挣扎。然而，关于社交媒体中帕帕吉诺效应的存在性及其有效性，我们的理解尚存空白，本文正是针对这一问题展开研究。具体而言，我们采用因果推断框架，审视接触心理健康应对故事对Twitter用户的影响。我们获取了一个包含约1万名用户、约200万条推文的Twitter数据集。我们将参与应对故事互动视为处理干预，并采用分层倾向得分法找到处理组与对照组的匹配队列。通过分析纵向Twitter数据中用户参与应对故事前后的情感、行为及认知结果的心理社会变化，我们发现参与应对故事可减轻压力与抑郁，并改善表达性写作、多样性和互动性。本研究讨论了在支持心理健康方面的实践与平台设计启示。