论文标题
生活并不总是令人沮丧：探索被诊断为抑郁症的人的快乐时刻
Life is not Always Depressing: Exploring the Happy Moments of People Diagnosed with Depression
论文作者
论文摘要
在这项工作中，我们探讨了社交媒体中抑郁症与幸福的表现之间的关系。尽管围绕抑郁症的大多数作品都集中在症状上，但心理学研究表明，寻求幸福与被诊断出患有抑郁症之间存在很强的联系。我们利用积极的学习范式来自动从诊断为抑郁症的控件和用户的社交媒体帖子中提取快乐的时刻，并通过语言工具（例如LIWC和关键信息）进行定性分析它们。我们表明，与控制用户报告的更为平凡的快乐事件相比，与朋友和家人相比，与朋友和家人有关的积极事件并不总是黯淡的，与朋友和家人有关的积极事件更为值得注意。
In this work, we explore the relationship between depression and manifestations of happiness in social media. While the majority of works surrounding depression focus on symptoms, psychological research shows that there is a strong link between seeking happiness and being diagnosed with depression. We make use of Positive-Unlabeled learning paradigm to automatically extract happy moments from social media posts of both controls and users diagnosed with depression, and qualitatively analyze them with linguistic tools such as LIWC and keyness information. We show that the life of depressed individuals is not always bleak, with positive events related to friends and family being more noteworthy to their lives compared to the more mundane happy events reported by control users.
