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In this work, we explore the relationship between depression andmanifestations of happiness in social media. While the majority of workssurrounding depression focus on symptoms, psychological research shows thatthere is a strong link between seeking happiness and being diagnosed withdepression. We make use of Positive-Unlabeled learning paradigm toautomatically extract happy moments from social media posts of both controlsand users diagnosed with depression, and qualitatively analyze them withlinguistic tools such as LIWC and keyness information. We show that the life ofdepressed individuals is not always bleak, with positive events related tofriends and family being more noteworthy to their lives compared to the moremundane happy events reported by control users.

Life is not Always Depressing: Exploring the Happy Moments of People Diagnosed with Depression